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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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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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