Task $1$: Linear Regression Project

Objective: Use linear regression to predict a continuous target variable based on a dataset of your choice.

Requirements:

$1.$ Dataset Selection:

$-$ Choose a dataset with a continuous target variable $($e$.$g$.,$ house prices, student grades, or stock prices$).$

$-$ Ensure the dataset has multiple features to allow for meaningful analysis.

$2.$ Data Preprocessing:

$-$ Split the dataset into training and test sets $($e$.$g$.,\backslash (80\backslash \%\backslash )$ training and $\backslash (20\backslash \%\backslash )$ testing$).$

$3.$ Model Implementation:

$-$ Implement linear regression using a library such as scikit$-$learn, or build the model from scratch.

$-$ Train the model on the training set and predict the target values for the test set.

$4.$ Evaluation:

$-$ Evaluate the model using the metric Mean Squared Error $($MSE$).$

$-$ Plot the predicted vs$.$ actual values to visually assess model performance.

$5.$ Report:

$-$ Submit a brief report explaining the chosen dataset, preprocessing steps, model implementation, evaluation results, and observations on model performance.