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
machine-learning
linear-regression-concept
assumption-checking
splitting-test-and-train-data
applying-linear-regression-on-train-data
prediction-using-test-data
evaluation-using-rmse-r-squared
saving-the-model-using-joblift
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Updated
May 6, 2024 - HTML