Two-way ANOVA (2×2) in Python: effect of test preparation course and gender on math scores + assumption checks.
A diagnostic pipeline for verifying statistical assumptions in supervised learning models.
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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