tesla-stock-price-prediction-linearregression.ipynb

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/sadimrahmanbadhan/tesla-stock-price-prediction-linearregression?scriptVersionId=158611913\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown"},{"cell_type":"code","execution_count":1,"id":"a46b6218","metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","execution":{"iopub.execute_input":"2024-01-11T18:05:02.609658Z","iopub.status.busy":"2024-01-11T18:05:02.609105Z","iopub.status.idle":"2024-01-11T18:05:05.038674Z","shell.execute_reply":"2024-01-11T18:05:05.037489Z"},"papermill":{"duration":2.442327,"end_time":"2024-01-11T18:05:05.041459","exception":false,"start_time":"2024-01-11T18:05:02.599132","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<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>Date</th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Close</th>\n","      <th>Adj Close</th>\n","      <th>Volume</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2010-06-29</td>\n","      <td>19.000000</td>\n","      <td>25.00</td>\n","      <td>17.540001</td>\n","      <td>23.889999</td>\n","      <td>23.889999</td>\n","      <td>18766300</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2010-06-30</td>\n","      <td>25.790001</td>\n","      <td>30.42</td>\n","      <td>23.299999</td>\n","      <td>23.830000</td>\n","      <td>23.830000</td>\n","      <td>17187100</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2010-07-01</td>\n","      <td>25.000000</td>\n","      <td>25.92</td>\n","      <td>20.270000</td>\n","      <td>21.959999</td>\n","      <td>21.959999</td>\n","      <td>8218800</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["         Date       Open   High        Low      Close  Adj Close    Volume\n","0  2010-06-29  19.000000  25.00  17.540001  23.889999  23.889999  18766300\n","1  2010-06-30  25.790001  30.42  23.299999  23.830000  23.830000  17187100\n","2  2010-07-01  25.000000  25.92  20.270000  21.959999  21.959999   8218800"]},"execution_count":1,"metadata":{},"output_type":"execute_result"}],"source":["# Implementation By: Sadim Rahman Badhan\n","# Importing essential modules\n","import numpy as np\n","import pandas as pd\n","import seaborn\n","from sklearn.model_selection import train_test_split\n","from sklearn.linear_model import LinearRegression\n","import joblib\n","\n","# import os\n","# for dirname, _, filenames in os.walk('/kaggle/input'):\n","#     for filename in filenames:\n","#         print(os.path.join(dirname, filename))\n","\n","# Path to the CSV file\n","datapath = \"/kaggle/input/tesla-stock-data-from-2010-to-2020/TSLA.csv\"\n","\n","# Loading the CSV file\n","df = pd.read_csv(datapath)\n","\n","# Printing first 3 rows of the dataset\n","df.head(3)"]},{"cell_type":"markdown","id":"15cd783b","metadata":{"papermill":{"duration":0.008444,"end_time":"2024-01-11T18:05:05.058541","exception":false,"start_time":"2024-01-11T18:05:05.050097","status":"completed"},"tags":[]},"source":["Here:\n","\n","    The date - \"Date\"\n","\n","    The opening price of the stock - \"Open\"\n","\n","    The high price of that day - \"High\"\n","\n","    The low price of that day - \"Low\"\n","\n","    The closed price of that day - \"Close\"\n","\n","    The amount of stocks traded during that day - \"Volume\"\n","\n","    The stock's closing price that has been amended to include any distributions/corporate actions that occurs before next days open - \"Adj[usted] Close\"\n","    \n"," <blockquote> Source: https://www.kaggle.com/rpaguirre/tesla-stock-price </blockquote>\n"," <blockquote> Reference: https://www.kaggle.com/rishidamarla/tesla-stock-prediction-using-linear-regression </blockquote>\n"]},{"cell_type":"code","execution_count":2,"id":"6e5ab90a","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:05.077751Z","iopub.status.busy":"2024-01-11T18:05:05.077304Z","iopub.status.idle":"2024-01-11T18:05:05.112028Z","shell.execute_reply":"2024-01-11T18:05:05.11096Z"},"papermill":{"duration":0.04679,"end_time":"2024-01-11T18:05:05.114337","exception":false,"start_time":"2024-01-11T18:05:05.067547","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<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>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Close</th>\n","      <th>Adj Close</th>\n","      <th>Volume</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>2416.000000</td>\n","      <td>2416.000000</td>\n","      <td>2416.000000</td>\n","      <td>2416.000000</td>\n","      <td>2416.000000</td>\n","      <td>2.416000e+03</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>186.271147</td>\n","      <td>189.578224</td>\n","      <td>182.916639</td>\n","      <td>186.403651</td>\n","      <td>186.403651</td>\n","      <td>5.572722e+06</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>118.740163</td>\n","      <td>120.892329</td>\n","      <td>116.857591</td>\n","      <td>119.136020</td>\n","      <td>119.136020</td>\n","      <td>4.987809e+06</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>16.139999</td>\n","      <td>16.629999</td>\n","      <td>14.980000</td>\n","      <td>15.800000</td>\n","      <td>15.800000</td>\n","      <td>1.185000e+05</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>34.342498</td>\n","      <td>34.897501</td>\n","      <td>33.587501</td>\n","      <td>34.400002</td>\n","      <td>34.400002</td>\n","      <td>1.899275e+06</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>213.035004</td>\n","      <td>216.745002</td>\n","      <td>208.870002</td>\n","      <td>212.960007</td>\n","      <td>212.960007</td>\n","      <td>4.578400e+06</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>266.450012</td>\n","      <td>270.927513</td>\n","      <td>262.102501</td>\n","      <td>266.774994</td>\n","      <td>266.774994</td>\n","      <td>7.361150e+06</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>673.690002</td>\n","      <td>786.140015</td>\n","      <td>673.520020</td>\n","      <td>780.000000</td>\n","      <td>780.000000</td>\n","      <td>4.706500e+07</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["              Open         High          Low        Close    Adj Close  \\\n","count  2416.000000  2416.000000  2416.000000  2416.000000  2416.000000   \n","mean    186.271147   189.578224   182.916639   186.403651   186.403651   \n","std     118.740163   120.892329   116.857591   119.136020   119.136020   \n","min      16.139999    16.629999    14.980000    15.800000    15.800000   \n","25%      34.342498    34.897501    33.587501    34.400002    34.400002   \n","50%     213.035004   216.745002   208.870002   212.960007   212.960007   \n","75%     266.450012   270.927513   262.102501   266.774994   266.774994   \n","max     673.690002   786.140015   673.520020   780.000000   780.000000   \n","\n","             Volume  \n","count  2.416000e+03  \n","mean   5.572722e+06  \n","std    4.987809e+06  \n","min    1.185000e+05  \n","25%    1.899275e+06  \n","50%    4.578400e+06  \n","75%    7.361150e+06  \n","max    4.706500e+07  "]},"execution_count":2,"metadata":{},"output_type":"execute_result"}],"source":["# Printing statistical information of the dataset\n","df.describe()"]},{"cell_type":"code","execution_count":3,"id":"412e5fed","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:05.133917Z","iopub.status.busy":"2024-01-11T18:05:05.132684Z","iopub.status.idle":"2024-01-11T18:05:05.143023Z","shell.execute_reply":"2024-01-11T18:05:05.141913Z"},"papermill":{"duration":0.022482,"end_time":"2024-01-11T18:05:05.145362","exception":false,"start_time":"2024-01-11T18:05:05.12288","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Date         0\n","Open         0\n","High         0\n","Low          0\n","Close        0\n","Adj Close    0\n","Volume       0\n","dtype: int64"]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["# Checking for empty data fields in the dataset\n","df.isnull().sum()"]},{"cell_type":"code","execution_count":4,"id":"0e8d117b","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:05.165183Z","iopub.status.busy":"2024-01-11T18:05:05.164498Z","iopub.status.idle":"2024-01-11T18:05:05.192989Z","shell.execute_reply":"2024-01-11T18:05:05.191857Z"},"papermill":{"duration":0.04178,"end_time":"2024-01-11T18:05:05.195752","exception":false,"start_time":"2024-01-11T18:05:05.153972","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 2416 entries, 0 to 2415\n","Data columns (total 7 columns):\n"," #   Column     Non-Null Count  Dtype  \n","---  ------     --------------  -----  \n"," 0   Date       2416 non-null   object \n"," 1   Open       2416 non-null   float64\n"," 2   High       2416 non-null   float64\n"," 3   Low        2416 non-null   float64\n"," 4   Close      2416 non-null   float64\n"," 5   Adj Close  2416 non-null   float64\n"," 6   Volume     2416 non-null   int64  \n","dtypes: float64(5), int64(1), object(1)\n","memory usage: 132.2+ KB\n"]}],"source":["# Checking data types of all columns\n","df.info()"]},{"cell_type":"markdown","id":"639ff03e","metadata":{"papermill":{"duration":0.008546,"end_time":"2024-01-11T18:05:05.213265","exception":false,"start_time":"2024-01-11T18:05:05.204719","status":"completed"},"tags":[]},"source":["# **Here**, \n","# *Date* is a **categorical data** where most of the other columns are in floating point data type. Therefore, we will not be using the date column to train our model."]},{"cell_type":"code","execution_count":5,"id":"746f1c53","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:05.233219Z","iopub.status.busy":"2024-01-11T18:05:05.232594Z","iopub.status.idle":"2024-01-11T18:05:05.243313Z","shell.execute_reply":"2024-01-11T18:05:05.242469Z"},"papermill":{"duration":0.023681,"end_time":"2024-01-11T18:05:05.24595","exception":false,"start_time":"2024-01-11T18:05:05.222269","status":"completed"},"tags":[]},"outputs":[],"source":["# Dropping date column from our dataset\n","df = df.drop(['Date'],axis=1)"]},{"cell_type":"markdown","id":"22a96039","metadata":{"papermill":{"duration":0.009012,"end_time":"2024-01-11T18:05:05.264175","exception":false,"start_time":"2024-01-11T18:05:05.255163","status":"completed"},"tags":[]},"source":["# Now,\n","# We want to predict the closing/the last price of the stock based on the following features in out model:\n","# 1. Open\n","# 2. High\n","# 3. Low\n","# 4. Volume.\n","# \n","# So, we will drop the Close and 'Adj Close' column since they contain same values."]},{"cell_type":"code","execution_count":6,"id":"ae90ab62","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:05.284356Z","iopub.status.busy":"2024-01-11T18:05:05.283714Z","iopub.status.idle":"2024-01-11T18:05:05.289167Z","shell.execute_reply":"2024-01-11T18:05:05.288081Z"},"papermill":{"duration":0.018352,"end_time":"2024-01-11T18:05:05.291691","exception":false,"start_time":"2024-01-11T18:05:05.273339","status":"completed"},"tags":[]},"outputs":[],"source":["# Creating a shadow copy\n","copydf = df.copy()"]},{"cell_type":"code","execution_count":7,"id":"fd8edce1","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:05.311823Z","iopub.status.busy":"2024-01-11T18:05:05.311138Z","iopub.status.idle":"2024-01-11T18:05:05.317682Z","shell.execute_reply":"2024-01-11T18:05:05.316769Z"},"papermill":{"duration":0.019585,"end_time":"2024-01-11T18:05:05.32028","exception":false,"start_time":"2024-01-11T18:05:05.300695","status":"completed"},"tags":[]},"outputs":[],"source":["# Seperating Target variables and features\n","# Target Variable\n","y = df[\"Close\"]\n","\n","# Features\n","x = df.drop([\"Close\",\"Adj Close\"],axis=1)"]},{"cell_type":"code","execution_count":8,"id":"70b8e89e","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:05.340129Z","iopub.status.busy":"2024-01-11T18:05:05.339447Z","iopub.status.idle":"2024-01-11T18:05:05.34586Z","shell.execute_reply":"2024-01-11T18:05:05.344898Z"},"papermill":{"duration":0.019393,"end_time":"2024-01-11T18:05:05.348593","exception":false,"start_time":"2024-01-11T18:05:05.3292","status":"completed"},"tags":[]},"outputs":[],"source":["# Spliting the data in 80%, 20% for training and testing\n","xTrain,xTest,yTrain,yTest = train_test_split(x,y,test_size=0.2)"]},{"cell_type":"code","execution_count":9,"id":"d3584d61","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:05.369608Z","iopub.status.busy":"2024-01-11T18:05:05.368623Z","iopub.status.idle":"2024-01-11T18:05:05.403034Z","shell.execute_reply":"2024-01-11T18:05:05.401917Z"},"papermill":{"duration":0.048109,"end_time":"2024-01-11T18:05:05.405723","exception":false,"start_time":"2024-01-11T18:05:05.357614","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"],"text/plain":["LinearRegression()"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["# Making the model using LinearRegression()\n","model = LinearRegression()\n","\n","# Fiting the training data in the model\n","model.fit(xTrain,yTrain)"]},{"cell_type":"markdown","id":"6a93b04b","metadata":{"papermill":{"duration":0.009003,"end_time":"2024-01-11T18:05:05.424271","exception":false,"start_time":"2024-01-11T18:05:05.415268","status":"completed"},"tags":[]},"source":["# Checking the accuracy of the model using the score() in sklearn which uses R2 (the coefficient of determination) method to check accuracy."]},{"cell_type":"code","execution_count":10,"id":"96fc9388","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:05.444738Z","iopub.status.busy":"2024-01-11T18:05:05.443905Z","iopub.status.idle":"2024-01-11T18:05:05.454201Z","shell.execute_reply":"2024-01-11T18:05:05.452943Z"},"papermill":{"duration":0.023538,"end_time":"2024-01-11T18:05:05.456886","exception":false,"start_time":"2024-01-11T18:05:05.433348","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0.9996845456089336"]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["model.score(xTest,yTest)"]},{"cell_type":"code","execution_count":11,"id":"d07cab53","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:05.477359Z","iopub.status.busy":"2024-01-11T18:05:05.476583Z","iopub.status.idle":"2024-01-11T18:05:05.483652Z","shell.execute_reply":"2024-01-11T18:05:05.482294Z"},"papermill":{"duration":0.020003,"end_time":"2024-01-11T18:05:05.486002","exception":false,"start_time":"2024-01-11T18:05:05.465999","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Intercept:  -0.04606869856115736\n","Coefficients: \n","-0.6319230012704212\n","0.9147445814280443\n","0.7158854468023584\n","-4.2547278145121936e-08\n"]}],"source":["# Getting the intercept and Coefficients\n","print(\"Intercept: \",model.intercept_)\n","print(\"Coefficients: \")\n","for _ in model.coef_:\n","    print(_)"]},{"cell_type":"code","execution_count":12,"id":"0146d1fc","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:05.506926Z","iopub.status.busy":"2024-01-11T18:05:05.506109Z","iopub.status.idle":"2024-01-11T18:05:05.513658Z","shell.execute_reply":"2024-01-11T18:05:05.512381Z"},"papermill":{"duration":0.021121,"end_time":"2024-01-11T18:05:05.516369","exception":false,"start_time":"2024-01-11T18:05:05.495248","status":"completed"},"tags":[]},"outputs":[],"source":["# Making predictions using the predict() and xTest data\n","predictions = model.predict(xTest)"]},{"cell_type":"code","execution_count":13,"id":"1f97436e","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:05.538072Z","iopub.status.busy":"2024-01-11T18:05:05.537321Z","iopub.status.idle":"2024-01-11T18:05:05.542176Z","shell.execute_reply":"2024-01-11T18:05:05.541381Z"},"papermill":{"duration":0.018102,"end_time":"2024-01-11T18:05:05.544652","exception":false,"start_time":"2024-01-11T18:05:05.52655","status":"completed"},"tags":[]},"outputs":[],"source":["comparison = pd.DataFrame({'Predicted Values':predictions,'Actual Values':yTest})"]},{"cell_type":"code","execution_count":14,"id":"78a4e620","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:05.565584Z","iopub.status.busy":"2024-01-11T18:05:05.565159Z","iopub.status.idle":"2024-01-11T18:05:05.573775Z","shell.execute_reply":"2024-01-11T18:05:05.572651Z"},"papermill":{"duration":0.022201,"end_time":"2024-01-11T18:05:05.576498","exception":false,"start_time":"2024-01-11T18:05:05.554297","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["      Predicted Values  Actual Values\n","1811        349.440883     350.609985\n","2316        245.481879     247.100006\n","35           18.784292      18.770000\n","794         159.617096     161.839996\n","2243        189.667050     189.860001\n","1373        226.976979     227.070007\n","1672        270.448382     272.230011\n","1742        339.728889     341.010010\n","816         183.241258     185.240005\n","2115        342.414893     347.489990\n","92           24.521482      24.980000\n","956         194.703705     199.110001\n","1895        333.995840     336.410004\n","2187        283.340429     284.140015\n","1905        353.270326     352.790009\n"]}],"source":["print(comparison.head(15))"]},{"cell_type":"markdown","id":"0ebe1ac2","metadata":{"papermill":{"duration":0.009816,"end_time":"2024-01-11T18:05:05.596777","exception":false,"start_time":"2024-01-11T18:05:05.586961","status":"completed"},"tags":[]},"source":["# Visualizing the data to inspect the relationship between the target and features and showing the best fit line using seaborn.regplot() "]},{"cell_type":"code","execution_count":15,"id":"e706c309","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:05.61797Z","iopub.status.busy":"2024-01-11T18:05:05.617555Z","iopub.status.idle":"2024-01-11T18:05:06.271834Z","shell.execute_reply":"2024-01-11T18:05:06.270895Z"},"papermill":{"duration":0.668029,"end_time":"2024-01-11T18:05:06.274458","exception":false,"start_time":"2024-01-11T18:05:05.606429","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<Axes: xlabel='Volume', ylabel='Close'>"]},"execution_count":15,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Closing price vs the Volume\n","seaborn.regplot(data=copydf, x='Volume', y='Close')"]},{"cell_type":"code","execution_count":16,"id":"66c6eba9","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:06.299872Z","iopub.status.busy":"2024-01-11T18:05:06.298886Z","iopub.status.idle":"2024-01-11T18:05:06.915857Z","shell.execute_reply":"2024-01-11T18:05:06.914318Z"},"papermill":{"duration":0.633112,"end_time":"2024-01-11T18:05:06.918839","exception":false,"start_time":"2024-01-11T18:05:06.285727","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<Axes: xlabel='Close', ylabel='Open'>"]},"execution_count":16,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Closing price vs Opening price\n","seaborn.regplot(data=copydf, x='Close', y='Open')"]},{"cell_type":"code","execution_count":17,"id":"8551e79b","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:06.944102Z","iopub.status.busy":"2024-01-11T18:05:06.943651Z","iopub.status.idle":"2024-01-11T18:05:07.55209Z","shell.execute_reply":"2024-01-11T18:05:07.550666Z"},"papermill":{"duration":0.624253,"end_time":"2024-01-11T18:05:07.554858","exception":false,"start_time":"2024-01-11T18:05:06.930605","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<Axes: xlabel='Close', ylabel='High'>"]},"execution_count":17,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Closing price vs High price\n","seaborn.regplot(data=copydf, x=\"Close\", y='High')"]},{"cell_type":"code","execution_count":18,"id":"92f2f881","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:07.58197Z","iopub.status.busy":"2024-01-11T18:05:07.581511Z","iopub.status.idle":"2024-01-11T18:05:08.208639Z","shell.execute_reply":"2024-01-11T18:05:08.207237Z"},"papermill":{"duration":0.64379,"end_time":"2024-01-11T18:05:08.21132","exception":false,"start_time":"2024-01-11T18:05:07.56753","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<Axes: xlabel='Close', ylabel='Low'>"]},"execution_count":18,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Closing price vs Low price\n","seaborn.regplot(data=copydf, x='Close', y=\"Low\")"]},{"cell_type":"code","execution_count":19,"id":"a7915983","metadata":{"execution":{"iopub.execute_input":"2024-01-11T18:05:08.242317Z","iopub.status.busy":"2024-01-11T18:05:08.241029Z","iopub.status.idle":"2024-01-11T18:05:08.25065Z","shell.execute_reply":"2024-01-11T18:05:08.249431Z"},"papermill":{"duration":0.028111,"end_time":"2024-01-11T18:05:08.253529","exception":false,"start_time":"2024-01-11T18:05:08.225418","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["['stock-predictor-v2.job']"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["# Serialization\n","joblib.dump(model, \"stock-predictor-v2.job\")"]}],"metadata":{"kaggle":{"accelerator":"none","dataSources":[{"datasetId":500872,"sourceId":927894,"sourceType":"datasetVersion"}],"isGpuEnabled":false,"isInternetEnabled":true,"language":"python","sourceType":"notebook"},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.12"},"papermill":{"default_parameters":{},"duration":9.877929,"end_time":"2024-01-11T18:05:08.989547","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2024-01-11T18:04:59.111618","version":"2.4.0"}},"nbformat":4,"nbformat_minor":5}