GitHub - Ninad077/Machine_Learning-Linear_Regression: Content: Machine Learning (Overview & Process Flow), Linear Regression concept, Assumption checking, Linearity, Multi co-linearity, Auto correlation, Outliers, Null value treatment, EDA, Splitting the test and train data, Applying LinearRegression on train data, Predicting y_pred based on test data, Constructing a dataframe, Evaluating RMSE and Rsq

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.ipynb_checkpoints		.ipynb_checkpoints
LR.pdf		LR.pdf
Linear Regression.ipynb		Linear Regression.ipynb
Linear Regression_html.html		Linear Regression_html.html
Linear_Reg.pdf		Linear_Reg.pdf
Linear_Regression.ipynb		Linear_Regression.ipynb
Untitled.ipynb		Untitled.ipynb
advertising.csv		advertising.csv
filesession.ipynb		filesession.ipynb
model.pkl		model.pkl

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Content: Machine Learning (Overview & Process Flow), Linear Regression concept, Assumption checking, Linearity, Multi co-linearity, Auto correlation, Outliers, Null value treatment, EDA, Splitting the test and train data, Applying LinearRegression on train data, Predicting y_pred based on test data, Constructing a dataframe, Evaluating RMSE and Rsq

applying-linear-regression-on-train-data assumption-checking evaluation-using-rmse-r-squared linear-regression-concept machine-learning prediction-using-test-data saving-the-model-using-joblift splitting-test-and-train-data