TSF GRIP.ipynb

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   "source": [
    "# Data Science and Business Analytics Intern @The Sparks Foundation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# NAME - SATYAKI SINHA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TASK 1 : Prediction Using Supervised ML(Level - Beginner)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Predict the percentage of an student based on the no. of study hours. What will be predicted score if a student studies for 9.25hrs/day?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pandas_profiling import ProfileReport\n",
    "\n",
    "import matplotlib\n",
    "matplotlib.use('TkAgg')\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing data from the given link\n",
    "\n",
    "data = pd.read_csv(\"http://bit.ly/w-data\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Hours</th>\n",
       "      <th>Scores</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.5</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5.1</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.2</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8.5</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.5</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "   Hours  Scores\n",
       "0    2.5      21\n",
       "1    5.1      47\n",
       "2    3.2      27\n",
       "3    8.5      75\n",
       "4    3.5      30"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking 1st 5 rows\n",
    "\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Summarize dataset: 100%|██████████| 19/19 [00:03<00:00,  6.10it/s, Completed]                    \n",
      "Generate report structure: 100%|██████████| 1/1 [00:01<00:00,  1.36s/it]\n",
      "Render HTML: 100%|██████████| 1/1 [00:00<00:00,  3.76it/s]\n"
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.navbar-brand,.navbar-inverse .navbar-nav&gt;li&gt;a{text-shadow:0 -1px 0 rgba(0,0,0,.25)}.navbar-fixed-bottom,.navbar-fixed-top,.navbar-static-top{border-radius:0}@media (max-width:767px){.navbar .navbar-nav .open .dropdown-menu&gt;.active&gt;a,.navbar .navbar-nav .open .dropdown-menu&gt;.active&gt;a:focus,.navbar .navbar-nav .open .dropdown-menu&gt;.active&gt;a:hover{color:#fff;background-image:-webkit-linear-gradient(top,#337ab7 0,#2e6da4 100%);background-image:-o-linear-gradient(top,#337ab7 0,#2e6da4 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#337ab7),to(#2e6da4));background-image:linear-gradient(to bottom,#337ab7 0,#2e6da4 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ff337ab7&#x27;, endColorstr=&#x27;#ff2e6da4&#x27;, GradientType=0);background-repeat:repeat-x}}.alert{text-shadow:0 1px 0 rgba(255,255,255,.2);-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.25),0 1px 2px rgba(0,0,0,.05);box-shadow:inset 0 1px 0 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endColorstr=&#x27;#ffe8e8e8&#x27;, GradientType=0);background-repeat:repeat-x}.panel-primary&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#337ab7 0,#2e6da4 100%);background-image:-o-linear-gradient(top,#337ab7 0,#2e6da4 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#337ab7),to(#2e6da4));background-image:linear-gradient(to bottom,#337ab7 0,#2e6da4 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ff337ab7&#x27;, endColorstr=&#x27;#ff2e6da4&#x27;, GradientType=0);background-repeat:repeat-x}.panel-success&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#dff0d8 0,#d0e9c6 100%);background-image:-o-linear-gradient(top,#dff0d8 0,#d0e9c6 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#dff0d8),to(#d0e9c6));background-image:linear-gradient(to bottom,#dff0d8 0,#d0e9c6 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffdff0d8&#x27;, endColorstr=&#x27;#ffd0e9c6&#x27;, GradientType=0);background-repeat:repeat-x}.panel-info&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#d9edf7 0,#c4e3f3 100%);background-image:-o-linear-gradient(top,#d9edf7 0,#c4e3f3 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#d9edf7),to(#c4e3f3));background-image:linear-gradient(to bottom,#d9edf7 0,#c4e3f3 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffd9edf7&#x27;, endColorstr=&#x27;#ffc4e3f3&#x27;, GradientType=0);background-repeat:repeat-x}.panel-warning&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#fcf8e3 0,#faf2cc 100%);background-image:-o-linear-gradient(top,#fcf8e3 0,#faf2cc 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#fcf8e3),to(#faf2cc));background-image:linear-gradient(to bottom,#fcf8e3 0,#faf2cc 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#fffcf8e3&#x27;, endColorstr=&#x27;#fffaf2cc&#x27;, GradientType=0);background-repeat:repeat-x}.panel-danger&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#f2dede 0,#ebcccc 100%);background-image:-o-linear-gradient(top,#f2dede 0,#ebcccc 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#f2dede),to(#ebcccc));background-image:linear-gradient(to bottom,#f2dede 0,#ebcccc 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#fff2dede&#x27;, endColorstr=&#x27;#ffebcccc&#x27;, GradientType=0);background-repeat:repeat-x}.well{background-image:-webkit-linear-gradient(top,#e8e8e8 0,#f5f5f5 100%);background-image:-o-linear-gradient(top,#e8e8e8 0,#f5f5f5 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#e8e8e8),to(#f5f5f5));background-image:linear-gradient(to bottom,#e8e8e8 0,#f5f5f5 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffe8e8e8&#x27;, endColorstr=&#x27;#fff5f5f5&#x27;, GradientType=0);background-repeat:repeat-x;border-color:#dcdcdc;-webkit-box-shadow:inset 0 1px 3px rgba(0,0,0,.05),0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 3px rgba(0,0,0,.05),0 1px 0 rgba(255,255,255,.1)}\n",
       "/*# sourceMappingURL=bootstrap-theme.min.css.map */        &lt;/style&gt;&lt;style&gt;body {\n",
       "  padding-top: 80px;\n",
       "}\n",
       ".content .container-fluid{\n",
       "    margin-left: 20px !important;\n",
       "    margin-right: 20px !important;\n",
       "    margin-bottom: 20px;\n",
       "}\n",
       "\n",
       ".page-header{\n",
       "    border:0 !important;\n",
       "}\n",
       "\n",
       ".row.variable, .section-items &gt; .row {\n",
       "    border: 1px solid #e1e1e8;\n",
       "    border-top: hidden;\n",
       "}\n",
       "\n",
       ".row.spacing{\n",
       "    padding: 2em 1em;\n",
       "}\n",
       "\n",
       ".row.header {\n",
       "    border-bottom: 1px solid #e1e1e8;\n",
       "    /*background-color: #f5f5f5;*/\n",
       "    padding-left: 2em;\n",
       "}\n",
       "\n",
       "\n",
       ".dl-horizontal dt {\n",
       "    text-align: left;\n",
       "    padding-right: 1em;\n",
       "    white-space: normal;\n",
       "}\n",
       "\n",
       ".dl-horizontal dd {\n",
       "    margin-left: 0;\n",
       "}\n",
       "\n",
       ".col-md-12 {\n",
       "    padding-left: 2em;\n",
       "}\n",
       "\n",
       ".indent {\n",
       "    margin-left: 1em;\n",
       "}\n",
       "\n",
       ".center-img {\n",
       "    margin-left: auto !important;\n",
       "    margin-right: auto !important;\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "/* Table example_values */\n",
       "table.example_values {\n",
       "    border: 0;\n",
       "}\n",
       "\n",
       ".example_values th {\n",
       "    border: 0;\n",
       "    padding: 0;\n",
       "    color: #555;\n",
       "    font-weight: 600;\n",
       "}\n",
       "\n",
       ".example_values tr, .example_values td {\n",
       "    border: 0;\n",
       "    padding: 0;\n",
       "    color: #555;\n",
       "}\n",
       "\n",
       "/* STATS */\n",
       "table.stats, table.sample, table.duplicate{\n",
       "    border: 0;\n",
       "}\n",
       "\n",
       ".stats tr, .sample tr, .duplicate tr {\n",
       "    border: 0;\n",
       "}\n",
       "\n",
       ".stats th, .stats td{\n",
       "    color: #555;\n",
       "    border: 0;\n",
       "}\n",
       "\n",
       ".stats th {\n",
       "    padding: 0 2em 0 0;\n",
       "    font-weight: 600;\n",
       "}\n",
       "\n",
       ".stats td {\n",
       "    padding: 1px;\n",
       "}\n",
       "\n",
       "\n",
       "/* Sample table */\n",
       "table.sample, table.duplicate{\n",
       "    margin-bottom: 2em;\n",
       "    margin-left: 1em;\n",
       "}\n",
       "\n",
       ".sample td, .sample th, .duplicate td, .duplicate th {\n",
       "    padding: 0.5em;\n",
       "    white-space: nowrap;\n",
       "    border: 0;\n",
       "\n",
       "}\n",
       "\n",
       ".sample thead, .duplicate thead {\n",
       "    border-top: 0;\n",
       "    border-bottom: 2px solid #ddd;\n",
       "}\n",
       "\n",
       ".sample td, .duplicate td {\n",
       "    width: 100%;\n",
       "}\n",
       "\n",
       "\n",
       "/* There is no good solution available to make the divs equal height and then center ... */\n",
       ".histogram {\n",
       "    margin-top: 3em;\n",
       "}\n",
       "\n",
       "/* Freq table */\n",
       "table.freq {\n",
       "    margin-bottom: 2em;\n",
       "    border: 0;\n",
       "}\n",
       "\n",
       "table.freq th, table.freq tr, table.freq td {\n",
       "    border: 0;\n",
       "    padding: 0;\n",
       "}\n",
       "\n",
       ".freq thead {\n",
       "    font-weight: 600;\n",
       "    white-space: nowrap;\n",
       "    overflow: hidden;\n",
       "    text-overflow: ellipsis;\n",
       "\n",
       "}\n",
       "\n",
       "/* Freq mini */\n",
       ".freq.mini td {\n",
       "    width: 50%;\n",
       "    padding: 1px;\n",
       "    font-size: 12px;\n",
       "\n",
       "}\n",
       "\n",
       "table.freq.mini {\n",
       "    width: 100%;\n",
       "}\n",
       "\n",
       ".freq.mini th {\n",
       "    overflow: hidden;\n",
       "    text-overflow: ellipsis;\n",
       "    white-space: nowrap;\n",
       "    max-width: 5em;\n",
       "    font-weight: 400;\n",
       "    text-align: right;\n",
       "    padding-right: 0.5em;\n",
       "}\n",
       "\n",
       "/* Message classes */\n",
       ".missing {\n",
       "    color: #a94442;\n",
       "}\n",
       "\n",
       ".alert, .alert &gt; th, .alert &gt; td {\n",
       "    color: #a94442;\n",
       "}\n",
       "\n",
       ".ignore {\n",
       "    opacity: 0.4;\n",
       "}\n",
       "\n",
       "/* Bars in tables */\n",
       ".freq.table{\n",
       "    table-layout: fixed;\n",
       "}\n",
       "\n",
       ".freq:not(.mini) tr td:nth-child(1), .freq:not(.mini) tr th:nth-child(1){\n",
       "    width: auto;\n",
       "    max-width: none;\n",
       "\n",
       "    white-space: nowrap;\n",
       "    overflow: hidden;\n",
       "    text-overflow: ellipsis;\n",
       "}\n",
       "\n",
       ".freq:not(.mini) tr td:nth-child(2), .freq:not(.mini) tr td:nth-child(3), .freq:not(.mini) tr th:nth-child(2), .freq:not(.mini) tr th:nth-child(3){\n",
       "    width: 100px;\n",
       "    text-align: right;\n",
       "}\n",
       ".freq:not(.mini) tr td:nth-child(4), .freq:not(.mini) tr th:nth-child(4){\n",
       "    width:200px;\n",
       "}\n",
       "\n",
       ".freq .bar {\n",
       "    float: left;\n",
       "    width: 0;\n",
       "    height: 100%;\n",
       "    line-height: 20px;\n",
       "    color: #fff;\n",
       "    text-align: center;\n",
       "    background-color: #337ab7;\n",
       "    border-radius: 3px;\n",
       "    margin-right: 4px;\n",
       "}\n",
       "\n",
       ".other .bar {\n",
       "    background-color: #999;\n",
       "}\n",
       "\n",
       ".missing .bar {\n",
       "    background-color: #a94442;\n",
       "}\n",
       "\n",
       ".tooltip-inner {\n",
       "    width: 100%;\n",
       "    white-space: nowrap;\n",
       "    text-align: left;\n",
       "}\n",
       "\n",
       ".extrapadding {\n",
       "    padding: 2em;\n",
       "}\n",
       "\n",
       ".variable .h4 {\n",
       "    text-overflow: ellipsis;\n",
       "    display:inline-block;\n",
       "    width: calc(90%); /* The trick is here! */\n",
       "    overflow:hidden;\n",
       "}\n",
       "\n",
       ".variable.ignore .h4{\n",
       "    text-decoration: line-through;\n",
       "}\n",
       "\n",
       ".table-responsive{\n",
       "    overflow: scroll;\n",
       "    width: 100%;\n",
       "    overflow-y: hidden;\n",
       "}\n",
       ".img-responsive{\n",
       "    max-width: 99%;\n",
       "}\n",
       ".footer-text{\n",
       "    padding:20px;\n",
       "}\n",
       "\n",
       "table.list-warnings td{\n",
       "    padding-right:10px;\n",
       "}\n",
       "\n",
       "a.anchor-pos {\n",
       "    display: block;\n",
       "    position: relative;\n",
       "    top: -70px;\n",
       "    visibility: hidden;\n",
       "}\n",
       "\n",
       "a.anchor-pos-variable{\n",
       "    /*top: -70px;*/\n",
       "}\n",
       "\n",
       "#sample-container, #duplicate-container{\n",
       "    overflow: auto;\n",
       "    width: 100%;\n",
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       "}&lt;/style&gt;&lt;/head&gt;&lt;body&gt;&lt;a class=anchor-pos id=top&gt;&lt;/a&gt;&lt;nav class=&quot;navbar navbar-default navbar-fixed-top&quot;&gt;&lt;div class=container-fluid&gt;&lt;div class=navbar-header&gt;&lt;button type=button class=&quot;navbar-toggle collapsed&quot; data-toggle=collapse data-target=#navbar aria-expanded=false aria-controls=navbar&gt;&lt;span class=sr-only&gt;Toggle navigation&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;/button&gt;&lt;a class=&quot;navbar-brand anchor&quot; href=#top&gt;Pandas Profiling Report&lt;/a&gt;&lt;/div&gt;&lt;div id=navbar class=&quot;navbar-collapse collapse&quot;&gt;&lt;ul class=&quot;nav navbar-nav navbar-right&quot;&gt;&lt;li&gt;&lt;a class=anchor href=#overview&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#variables&gt;Variables&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#interactions&gt;Interactions&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#correlations&gt;Correlations&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#missing&gt;Missing values&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#sample&gt;Sample&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;/div&gt;&lt;/nav&gt;&lt;div class=content&gt;&lt;div class=container&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=overview&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Overview&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-pills&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#overview-dataset_overview aria-controls=overview-dataset_overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#overview-alerts aria-controls=overview-alerts role=tab data-toggle=tab&gt;Alerts &lt;span class=badge&gt;8&lt;/span&gt;&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#overview-reproduction aria-controls=overview-reproduction role=tab data-toggle=tab&gt;Reproduction&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content style=&quot;padding-top: 10px;&quot;&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=overview-dataset_overview&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Dataset statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Number of variables&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Number of observations&lt;/th&gt;&lt;td&gt;25&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing cells&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing cells (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duplicate rows&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duplicate rows (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Total size in memory&lt;/th&gt;&lt;td&gt;528.0 B&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Average record size in memory&lt;/th&gt;&lt;td&gt;21.1 B&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Variable types&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Numeric&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=overview-alerts&gt;&lt;table class=&quot;table table-condensed list-warnings&quot;&gt;&lt;p class=h4&gt;Alerts&lt;/p&gt;&lt;tr style=border-top:0&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_7943877868956694775&gt;&lt;code&gt;Hours&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;Scores&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_2244469255483034507&gt;&lt;code&gt;Scores&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;Hours&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_7943877868956694775&gt;&lt;code&gt;Hours&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;Scores&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_2244469255483034507&gt;&lt;code&gt;Scores&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;Hours&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_7943877868956694775&gt;&lt;code&gt;Hours&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;Scores&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_2244469255483034507&gt;&lt;code&gt;Scores&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;Hours&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_7943877868956694775&gt;&lt;code&gt;Hours&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;Scores&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_2244469255483034507&gt;&lt;code&gt;Scores&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;Hours&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=overview-reproduction&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4&gt;Reproduction&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Analysis started&lt;/th&gt;&lt;td&gt;2021-12-18 16:36:17.730110&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Analysis finished&lt;/th&gt;&lt;td&gt;2021-12-18 16:36:20.843025&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duration&lt;/th&gt;&lt;td&gt;3.11 seconds&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Software version&lt;/th&gt;&lt;td&gt;&lt;a href=https://github.com/pandas-profiling/pandas-profiling&gt;pandas-profiling v3.1.0&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Download configuration&lt;/th&gt;&lt;td&gt;&lt;a download=config.json 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       "&quot; style=&quot;fill: none&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=pf9bfbadd7e&gt;&lt;rect x=54.91 y=10.8 width=366.29 height=245.844942 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=23) &lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=7943877868956694775bottom-7943877868956694775common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=2.5&gt;2.5&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.4%&gt; &amp;nbsp; &lt;/div&gt; 8.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2.7&gt;2.7&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.4%&gt; &amp;nbsp; &lt;/div&gt; 8.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4.5&gt;4.5&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.7%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6.9&gt;6.9&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.7%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3.8&gt;3.8&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.7%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4.8&gt;4.8&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.7%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7.4&gt;7.4&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.7%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6.1&gt;6.1&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.7%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.9&gt;1.9&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.7%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8.9&gt;8.9&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.7%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (13)&quot;&gt;Other values (13)&lt;/td&gt;&lt;td&gt;13&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 52.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=7943877868956694775bottom-7943877868956694775extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#7943877868956694775extreme_values-7943877868956694775firstn aria-controls=7943877868956694775extreme_values-7943877868956694775firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7943877868956694775extreme_values-7943877868956694775lastn aria-controls=7943877868956694775extreme_values-7943877868956694775lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=7943877868956694775extreme_values-7943877868956694775firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1.1&gt;1.1&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt; 4.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.5&gt;1.5&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt; 4.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.9&gt;1.9&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt; 4.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2.5&gt;2.5&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 8.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2.7&gt;2.7&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 8.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3.2&gt;3.2&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt; 4.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3.3&gt;3.3&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt; 4.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3.5&gt;3.5&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt; 4.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3.8&gt;3.8&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt; 4.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4.5&gt;4.5&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt; 4.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=7943877868956694775extreme_values-7943877868956694775lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=9.2&gt;9.2&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 4.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8.9&gt;8.9&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 4.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8.5&gt;8.5&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 4.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8.3&gt;8.3&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 4.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7.8&gt;7.8&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 4.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7.7&gt;7.7&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 4.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7.4&gt;7.4&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 4.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6.9&gt;6.9&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 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&amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=24&gt;24&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.7%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=95&gt;95&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.7%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (13)&quot;&gt;Other values (13)&lt;/td&gt;&lt;td&gt;13&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 52.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=2244469255483034507bottom-2244469255483034507extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#2244469255483034507extreme_values-2244469255483034507firstn aria-controls=2244469255483034507extreme_values-2244469255483034507firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#2244469255483034507extreme_values-2244469255483034507lastn aria-controls=2244469255483034507extreme_values-2244469255483034507lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=2244469255483034507extreme_values-2244469255483034507firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=17&gt;17&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:33.3%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=20&gt;20&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:33.3%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=21&gt;21&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:33.3%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=24&gt;24&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:33.3%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=25&gt;25&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:33.3%&gt; 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h.notifyWith(a,[j,f,c]),1&gt;f&amp;&amp;i?c:(h.resolveWith(a,[j]),!1)},j=h.promise({elem:a,props:n.extend({},b),opts:n.extend(!0,{specialEasing:{},easing:n.easing._default},c),originalProperties:b,originalOptions:c,startTime:hb||lb(),duration:c.duration,tweens:[],createTween:function(b,c){var d=n.Tween(a,j.opts,b,c,j.opts.specialEasing[b]||j.opts.easing);return j.tweens.push(d),d},stop:function(b){var c=0,d=b?j.tweens.length:0;if(e)return this;for(e=!0;d&gt;c;c++)j.tweens[c].run(1);return b?(h.notifyWith(a,[j,1,0]),h.resolveWith(a,[j,b])):h.rejectWith(a,[j,b]),this}}),k=j.props;for(pb(k,j.opts.specialEasing);g&gt;f;f++)if(d=qb.prefilters[f].call(j,a,k,j.opts))return n.isFunction(d.stop)&amp;&amp;(n._queueHooks(j.elem,j.opts.queue).stop=n.proxy(d.stop,d)),d;return n.map(k,nb,j),n.isFunction(j.opts.start)&amp;&amp;j.opts.start.call(a,j),n.fx.timer(n.extend(i,{elem:a,anim:j,queue:j.opts.queue})),j.progress(j.opts.progress).done(j.opts.done,j.opts.complete).fail(j.opts.fail).always(j.opts.always)}n.Animation=n.extend(qb,{tweeners:{&quot;*&quot;:[function(a,b){var c=this.createTween(a,b);return X(c.elem,a,U.exec(b),c),c}]},tweener:function(a,b){n.isFunction(a)?(b=a,a=[&quot;*&quot;]):a=a.match(G);for(var c,d=0,e=a.length;e&gt;d;d++)c=a[d],qb.tweeners[c]=qb.tweeners[c]||[],qb.tweeners[c].unshift(b)},prefilters:[ob],prefilter:function(a,b){b?qb.prefilters.unshift(a):qb.prefilters.push(a)}}),n.speed=function(a,b,c){var d=a&amp;&amp;&quot;object&quot;==typeof a?n.extend({},a):{complete:c||!c&amp;&amp;b||n.isFunction(a)&amp;&amp;a,duration:a,easing:c&amp;&amp;b||b&amp;&amp;!n.isFunction(b)&amp;&amp;b};return d.duration=n.fx.off?0:&quot;number&quot;==typeof d.duration?d.duration:d.duration in n.fx.speeds?n.fx.speeds[d.duration]:n.fx.speeds._default,null!=d.queue&amp;&amp;d.queue!==!0||(d.queue=&quot;fx&quot;),d.old=d.complete,d.complete=function(){n.isFunction(d.old)&amp;&amp;d.old.call(this),d.queue&amp;&amp;n.dequeue(this,d.queue)},d},n.fn.extend({fadeTo:function(a,b,c,d){return this.filter(W).css(&quot;opacity&quot;,0).show().end().animate({opacity:b},a,c,d)},animate:function(a,b,c,d){var e=n.isEmptyObject(a),f=n.speed(b,c,d),g=function(){var b=qb(this,n.extend({},a),f);(e||n._data(this,&quot;finish&quot;))&amp;&amp;b.stop(!0)};return g.finish=g,e||f.queue===!1?this.each(g):this.queue(f.queue,g)},stop:function(a,b,c){var d=function(a){var b=a.stop;delete a.stop,b(c)};return&quot;string&quot;!=typeof a&amp;&amp;(c=b,b=a,a=void 0),b&amp;&amp;a!==!1&amp;&amp;this.queue(a||&quot;fx&quot;,[]),this.each(function(){var b=!0,e=null!=a&amp;&amp;a+&quot;queueHooks&quot;,f=n.timers,g=n._data(this);if(e)g[e]&amp;&amp;g[e].stop&amp;&amp;d(g[e]);else for(e in g)g[e]&amp;&amp;g[e].stop&amp;&amp;kb.test(e)&amp;&amp;d(g[e]);for(e=f.length;e--;)f[e].elem!==this||null!=a&amp;&amp;f[e].queue!==a||(f[e].anim.stop(c),b=!1,f.splice(e,1));!b&amp;&amp;c||n.dequeue(this,a)})},finish:function(a){return a!==!1&amp;&amp;(a=a||&quot;fx&quot;),this.each(function(){var b,c=n._data(this),d=c[a+&quot;queue&quot;],e=c[a+&quot;queueHooks&quot;],f=n.timers,g=d?d.length:0;for(c.finish=!0,n.queue(this,a,[]),e&amp;&amp;e.stop&amp;&amp;e.stop.call(this,!0),b=f.length;b--;)f[b].elem===this&amp;&amp;f[b].queue===a&amp;&amp;(f[b].anim.stop(!0),f.splice(b,1));for(b=0;g&gt;b;b++)d[b]&amp;&amp;d[b].finish&amp;&amp;d[b].finish.call(this);delete c.finish})}}),n.each([&quot;toggle&quot;,&quot;show&quot;,&quot;hide&quot;],function(a,b){var c=n.fn[b];n.fn[b]=function(a,d,e){return null==a||&quot;boolean&quot;==typeof 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a,b=d.createElement(&quot;input&quot;),c=d.createElement(&quot;div&quot;),e=d.createElement(&quot;select&quot;),f=e.appendChild(d.createElement(&quot;option&quot;));c=d.createElement(&quot;div&quot;),c.setAttribute(&quot;className&quot;,&quot;t&quot;),c.innerHTML=&quot;  &lt;link/&gt;&lt;table&gt;&lt;/table&gt;&lt;a href=&#x27;/a&#x27;&gt;a&lt;/a&gt;&lt;input type=&#x27;checkbox&#x27;/&gt;&quot;,a=c.getElementsByTagName(&quot;a&quot;)[0],b.setAttribute(&quot;type&quot;,&quot;checkbox&quot;),c.appendChild(b),a=c.getElementsByTagName(&quot;a&quot;)[0],a.style.cssText=&quot;top:1px&quot;,l.getSetAttribute=&quot;t&quot;!==c.className,l.style=/top/.test(a.getAttribute(&quot;style&quot;)),l.hrefNormalized=&quot;/a&quot;===a.getAttribute(&quot;href&quot;),l.checkOn=!!b.value,l.optSelected=f.selected,l.enctype=!!d.createElement(&quot;form&quot;).enctype,e.disabled=!0,l.optDisabled=!f.disabled,b=d.createElement(&quot;input&quot;),b.setAttribute(&quot;value&quot;,&quot;&quot;),l.input=&quot;&quot;===b.getAttribute(&quot;value&quot;),b.value=&quot;t&quot;,b.setAttribute(&quot;type&quot;,&quot;radio&quot;),l.radioValue=&quot;t&quot;===b.value}();var rb=/\\r/g,sb=/[\\x20\\t\\r\\n\\f]+/g;n.fn.extend({val:function(a){var b,c,d,e=this[0];{if(arguments.length)return d=n.isFunction(a),this.each(function(c){var e;1===this.nodeType&amp;&amp;(e=d?a.call(this,c,n(this).val()):a,null==e?e=&quot;&quot;:&quot;number&quot;==typeof e?e+=&quot;&quot;:n.isArray(e)&amp;&amp;(e=n.map(e,function(a){return null==a?&quot;&quot;:a+&quot;&quot;})),b=n.valHooks[this.type]||n.valHooks[this.nodeName.toLowerCase()],b&amp;&amp;&quot;set&quot;in b&amp;&amp;void 0!==b.set(this,e,&quot;value&quot;)||(this.value=e))});if(e)return b=n.valHooks[e.type]||n.valHooks[e.nodeName.toLowerCase()],b&amp;&amp;&quot;get&quot;in b&amp;&amp;void 0!==(c=b.get(e,&quot;value&quot;))?c:(c=e.value,&quot;string&quot;==typeof c?c.replace(rb,&quot;&quot;):null==c?&quot;&quot;:c)}}}),n.extend({valHooks:{option:{get:function(a){var b=n.find.attr(a,&quot;value&quot;);return null!=b?b:n.trim(n.text(a)).replace(sb,&quot; &quot;)}},select:{get:function(a){for(var b,c,d=a.options,e=a.selectedIndex,f=&quot;select-one&quot;===a.type||0&gt;e,g=f?null:[],h=f?e+1:d.length,i=0&gt;e?h:f?e:0;h&gt;i;i++)if(c=d[i],(c.selected||i===e)&amp;&amp;(l.optDisabled?!c.disabled:null===c.getAttribute(&quot;disabled&quot;))&amp;&amp;(!c.parentNode.disabled||!n.nodeName(c.parentNode,&quot;optgroup&quot;))){if(b=n(c).val(),f)return b;g.push(b)}return g},set:function(a,b){var c,d,e=a.options,f=n.makeArray(b),g=e.length;while(g--)if(d=e[g],n.inArray(n.valHooks.option.get(d),f)&gt;-1)try{d.selected=c=!0}catch(h){d.scrollHeight}else d.selected=!1;return c||(a.selectedIndex=-1),e}}}}),n.each([&quot;radio&quot;,&quot;checkbox&quot;],function(){n.valHooks[this]={set:function(a,b){return n.isArray(b)?a.checked=n.inArray(n(a).val(),b)&gt;-1:void 0}},l.checkOn||(n.valHooks[this].get=function(a){return null===a.getAttribute(&quot;value&quot;)?&quot;on&quot;:a.value})});var tb,ub,vb=n.expr.attrHandle,wb=/^(?:checked|selected)$/i,xb=l.getSetAttribute,yb=l.input;n.fn.extend({attr:function(a,b){return Y(this,n.attr,a,b,arguments.length&gt;1)},removeAttr:function(a){return this.each(function(){n.removeAttr(this,a)})}}),n.extend({attr:function(a,b,c){var d,e,f=a.nodeType;if(3!==f&amp;&amp;8!==f&amp;&amp;2!==f)return&quot;undefined&quot;==typeof a.getAttribute?n.prop(a,b,c):(1===f&amp;&amp;n.isXMLDoc(a)||(b=b.toLowerCase(),e=n.attrHooks[b]||(n.expr.match.bool.test(b)?ub:tb)),void 0!==c?null===c?void n.removeAttr(a,b):e&amp;&amp;&quot;set&quot;in e&amp;&amp;void 0!==(d=e.set(a,c,b))?d:(a.setAttribute(b,c+&quot;&quot;),c):e&amp;&amp;&quot;get&quot;in e&amp;&amp;null!==(d=e.get(a,b))?d:(d=n.find.attr(a,b),null==d?void 0:d))},attrHooks:{type:{set:function(a,b){if(!l.radioValue&amp;&amp;&quot;radio&quot;===b&amp;&amp;n.nodeName(a,&quot;input&quot;)){var c=a.value;return a.setAttribute(&quot;type&quot;,b),c&amp;&amp;(a.value=c),b}}}},removeAttr:function(a,b){var c,d,e=0,f=b&amp;&amp;b.match(G);if(f&amp;&amp;1===a.nodeType)while(c=f[e++])d=n.propFix[c]||c,n.expr.match.bool.test(c)?yb&amp;&amp;xb||!wb.test(c)?a[d]=!1:a[n.camelCase(&quot;default-&quot;+c)]=a[d]=!1:n.attr(a,c,&quot;&quot;),a.removeAttribute(xb?c:d)}}),ub={set:function(a,b,c){return b===!1?n.removeAttr(a,c):yb&amp;&amp;xb||!wb.test(c)?a.setAttribute(!xb&amp;&amp;n.propFix[c]||c,c):a[n.camelCase(&quot;default-&quot;+c)]=a[c]=!0,c}},n.each(n.expr.match.bool.source.match(/\\w+/g),function(a,b){var c=vb[b]||n.find.attr;yb&amp;&amp;xb||!wb.test(b)?vb[b]=function(a,b,d){var e,f;return d||(f=vb[b],vb[b]=e,e=null!=c(a,b,d)?b.toLowerCase():null,vb[b]=f),e}:vb[b]=function(a,b,c){return c?void 0:a[n.camelCase(&quot;default-&quot;+b)]?b.toLowerCase():null}}),yb&amp;&amp;xb||(n.attrHooks.value={set:function(a,b,c){return n.nodeName(a,&quot;input&quot;)?void(a.defaultValue=b):tb&amp;&amp;tb.set(a,b,c)}}),xb||(tb={set:function(a,b,c){var d=a.getAttributeNode(c);return d||a.setAttributeNode(d=a.ownerDocument.createAttribute(c)),d.value=b+=&quot;&quot;,&quot;value&quot;===c||b===a.getAttribute(c)?b:void 0}},vb.id=vb.name=vb.coords=function(a,b,c){var d;return c?void 0:(d=a.getAttributeNode(b))&amp;&amp;&quot;&quot;!==d.value?d.value:null},n.valHooks.button={get:function(a,b){var c=a.getAttributeNode(b);return c&amp;&amp;c.specified?c.value:void 0},set:tb.set},n.attrHooks.contenteditable={set:function(a,b,c){tb.set(a,&quot;&quot;===b?!1:b,c)}},n.each([&quot;width&quot;,&quot;height&quot;],function(a,b){n.attrHooks[b]={set:function(a,c){return&quot;&quot;===c?(a.setAttribute(b,&quot;auto&quot;),c):void 0}}})),l.style||(n.attrHooks.style={get:function(a){return a.style.cssText||void 0},set:function(a,b){return a.style.cssText=b+&quot;&quot;}});var zb=/^(?:input|select|textarea|button|object)$/i,Ab=/^(?:a|area)$/i;n.fn.extend({prop:function(a,b){return Y(this,n.prop,a,b,arguments.length&gt;1)},removeProp:function(a){return 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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Generating Report\n",
    "\n",
    "prof = ProfileReport(data)\n",
    "prof"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Splitting Data into train and test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Reshaping the Hours and Scores column in to array\n",
    "\n",
    "X=data.iloc[:, :-1].values\n",
    "Y=data.iloc[:,1].values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "we have our attributes and labels, next is to split this data into training and test sets. We'll do this by using Scikit-Learn's built-in train_test_split() method:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split  \n",
    "\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y,test_size=0.2, random_state=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PLOT LINEAR REGRESSION"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "reg = LinearRegression()  \n",
    "reg.fit(X_train, Y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Plotting the regression line\n",
    "\n",
    "line = reg.coef_*X + reg.intercept_\n",
    "\n",
    "# Plotting for the test data\n",
    "\n",
    "plt.scatter(X, Y)\n",
    "plt.plot(X, line);\n",
    "plt.title(\"Hours Vs Percentage\")\n",
    "plt.xlabel(\"Hours\")\n",
    "plt.ylabel(\"Percentage\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Making Predictions\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have plot the linear Regression,time to make some predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Predicting the scores\n",
    "\n",
    "Y_prediction = reg.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Actual</th>\n",
       "      <th>Predicted</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20</td>\n",
       "      <td>16.884145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>27</td>\n",
       "      <td>33.732261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>69</td>\n",
       "      <td>75.357018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>30</td>\n",
       "      <td>26.794801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>62</td>\n",
       "      <td>60.491033</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Actual  Predicted\n",
       "0      20  16.884145\n",
       "1      27  33.732261\n",
       "2      69  75.357018\n",
       "3      30  26.794801\n",
       "4      62  60.491033"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Comparing Actual vs Predicted\n",
    "\n",
    "pd.DataFrame({'Actual': Y_test, 'Predicted': Y_prediction})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predicted Score if a student studies for 9.25hrs/day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The predicted score is 93.69173248737538 if a student studies for 9.25hrs/day\n"
     ]
    }
   ],
   "source": [
    "print(\"The predicted score is {} if a student studies for 9.25hrs/day\".format(reg.predict([[9.25]])[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Mean Square Error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Absolute Error: 4.183859899002975\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_absolute_error\n",
    "\n",
    "print('Mean Absolute Error:', mean_absolute_error(Y_test,Y_prediction)) "
   ]
  }
 ],
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