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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
Ninad077/Machine_Learning-Linear_Regression
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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
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