diff --git a/Machine Learning and Data Science/Basic/screen-time/.ipynb_checkpoints/screen-time-LR-checkpoint.ipynb b/Machine Learning and Data Science/Basic/screen-time/.ipynb_checkpoints/screen-time-LR-checkpoint.ipynb
new file mode 100644
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+++ b/Machine Learning and Data Science/Basic/screen-time/.ipynb_checkpoints/screen-time-LR-checkpoint.ipynb
@@ -0,0 +1,4825 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "283689c6",
+ "metadata": {},
+ "source": [
+ "This dataset contains the usage statistics of various apps on a phone.\n",
+ "\n",
+ "The dataset contains 5 columns:\n",
+ "\n",
+ "- Date column represents the date of the data.\n",
+ "- Usage column represents the duration of app usage in minutes.\n",
+ "- Notifications column represents the count of notifications received from the app.\n",
+ "- Times Opened column represents the count of times the app was opened.\n",
+ "- App column represents the name of the app."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "3c295738",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Importing necessary libraries\n",
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import seaborn as sns\n",
+ "import plotly.express as px\n",
+ "import plotly.graph_objects as gr"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "5504a9e0",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Date Usage Notifications Times opened App\n",
+ "0 08/26/2022 38 70 49 Instagram\n",
+ "1 08/27/2022 39 43 48 Instagram\n",
+ "2 08/28/2022 64 231 55 Instagram\n",
+ "3 08/29/2022 14 35 23 Instagram\n",
+ "4 08/30/2022 3 19 5 Instagram\n"
+ ]
+ }
+ ],
+ "source": [
+ "data = pd.read_csv(\"Screentime-App-Details.csv\") # Loading the dataset\n",
+ "print(data.head()) "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "3fe4c6a2",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Date 0\n",
+ "Usage 0\n",
+ "Notifications 0\n",
+ "Times opened 0\n",
+ "App 0\n",
+ "dtype: int64"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data.isnull().sum() # Checking for any missing values\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9d3ebe9c",
+ "metadata": {},
+ "source": [
+ "The dataset doesn’t have any null values\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "9dfb9b4f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " Usage \n",
+ " Notifications \n",
+ " Times opened \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " count \n",
+ " 54.000000 \n",
+ " 54.000000 \n",
+ " 54.000000 \n",
+ " \n",
+ " \n",
+ " mean \n",
+ " 65.037037 \n",
+ " 117.703704 \n",
+ " 61.481481 \n",
+ " \n",
+ " \n",
+ " std \n",
+ " 58.317272 \n",
+ " 97.017530 \n",
+ " 43.836635 \n",
+ " \n",
+ " \n",
+ " min \n",
+ " 1.000000 \n",
+ " 8.000000 \n",
+ " 2.000000 \n",
+ " \n",
+ " \n",
+ " 25% \n",
+ " 17.500000 \n",
+ " 25.750000 \n",
+ " 23.500000 \n",
+ " \n",
+ " \n",
+ " 50% \n",
+ " 58.500000 \n",
+ " 99.000000 \n",
+ " 62.500000 \n",
+ " \n",
+ " \n",
+ " 75% \n",
+ " 90.500000 \n",
+ " 188.250000 \n",
+ " 90.000000 \n",
+ " \n",
+ " \n",
+ " max \n",
+ " 244.000000 \n",
+ " 405.000000 \n",
+ " 192.000000 \n",
+ " \n",
+ " \n",
+ "
\n",
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Plot showing the usage over time with notifications color-coded using Seaborn\n",
+ "plt.figure(figsize=(12, 6))\n",
+ "sns.barplot(data=data, x=\"Date\", y=\"Usage\", hue=\"Notifications\")\n",
+ "plt.title(\"Usage Over Time with Notifications\")\n",
+ "plt.xticks(rotation=45)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "f4727e5a",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.plotly.v1+json": {
+ "config": {
+ "plotlyServerURL": "https://plot.ly"
+ },
+ "data": [
+ {
+ "alignmentgroup": "True",
+ "hovertemplate": "App=InstagramOLS trendline 2 =0.599775(trend) LinearRegression() In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. \n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " Usage \n",
+ " Notifications \n",
+ " Times opened \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " count \n",
+ " 54.000000 \n",
+ " 54.000000 \n",
+ " 54.000000 \n",
+ " \n",
+ " \n",
+ " mean \n",
+ " 65.037037 \n",
+ " 117.703704 \n",
+ " 61.481481 \n",
+ " \n",
+ " \n",
+ " std \n",
+ " 58.317272 \n",
+ " 97.017530 \n",
+ " 43.836635 \n",
+ " \n",
+ " \n",
+ " min \n",
+ " 1.000000 \n",
+ " 8.000000 \n",
+ " 2.000000 \n",
+ " \n",
+ " \n",
+ " 25% \n",
+ " 17.500000 \n",
+ " 25.750000 \n",
+ " 23.500000 \n",
+ " \n",
+ " \n",
+ " 50% \n",
+ " 58.500000 \n",
+ " 99.000000 \n",
+ " 62.500000 \n",
+ " \n",
+ " \n",
+ " 75% \n",
+ " 90.500000 \n",
+ " 188.250000 \n",
+ " 90.000000 \n",
+ " \n",
+ " \n",
+ " max \n",
+ " 244.000000 \n",
+ " 405.000000 \n",
+ " 192.000000 \n",
+ " \n",
+ " \n",
+ "
\n",
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(12, 6))\n",
+ "sns.barplot(data=data, x=\"Date\", y=\"Usage\", hue=\"App\")\n",
+ "plt.title(\"Usage Over Time with Apps\")\n",
+ "plt.xticks(rotation=45)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "f8913aec",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(12, 6))\n",
+ "sns.barplot(data=data, x=\"Date\", y=\"Notifications\", hue=\"App\")\n",
+ "plt.title(\"Notifications Over Time with Apps\")\n",
+ "plt.xticks(rotation=45)\n",
+ "plt.show()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "05857195",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(12, 6))\n",
+ "sns.barplot(data=data, x=\"Date\", y=\"Times opened\", hue=\"App\")\n",
+ "plt.title(\"Times Opened Over Time with Apps\")\n",
+ "plt.xticks(rotation=45)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a89c5473",
+ "metadata": {},
+ "source": [
+ "# relations btw notif and usage it shud be as notif is high, usage should be high\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "17cf7e36",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "\n",
+ "# Scatter plot\n",
+ "plt.figure(figsize=(10, 6))\n",
+ "plt.scatter(data[\"Notifications\"], data[\"Usage\"], alpha=0.6, label='Data')\n",
+ "\n",
+ "# Calculate the best-fit line\n",
+ "slope, intercept = np.polyfit(data[\"Notifications\"], data[\"Usage\"], 1)\n",
+ "x_values = np.array([min(data[\"Notifications\"]), max(data[\"Notifications\"])])\n",
+ "y_values = slope * x_values + intercept\n",
+ "\n",
+ "# Plot the best-fit line\n",
+ "plt.plot(x_values, y_values, color='red', label='Trendline')\n",
+ "\n",
+ "# Plot labels and title\n",
+ "plt.xlabel(\"Notifications\")\n",
+ "plt.ylabel(\"Usage\")\n",
+ "plt.title(\"Relationship Between Number of Notifications and Usage\")\n",
+ "plt.grid(True)\n",
+ "plt.legend()\n",
+ "plt.show()\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3f9533c0",
+ "metadata": {},
+ "source": [
+ "there is a linear relationship between the number of notifications and the amount of usage. It means that more notifications result in more use of smartphones."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "2d9c7925",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b342616e",
+ "metadata": {},
+ "source": [
+ "# Machine Learning using Linear Regression"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "2a55f8b8",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Importing necessary libraries\n",
+ "from sklearn.model_selection import train_test_split\n",
+ "from sklearn.linear_model import LinearRegression\n",
+ "from sklearn.metrics import mean_squared_error"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "38b941c4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# App column is categorical, we convert it to numerical using one-hot encoding\n",
+ "data = pd.get_dummies(data, columns=['App'], drop_first=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "7a700978",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Splitting the data into feature (X) and target-variable (y)\n",
+ "X = data.drop(columns=['Usage', 'Date']) # Features\n",
+ "y = data['Usage'] # Target variable"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "06a62eda",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Splitting dataset into training & testing sets 80:20 ratio\n",
+ "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "id": "bea22e8a",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "LinearRegression() In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.