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# Machine Supervised Learning: Regression in Python 3 and Math

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Master Regression Algorithm as it provides a base for you to build on and learn other ML algorithms.

## What does this course teach you?

Simple Linear Regression
Multiple Linear Regression
Welcome to Multiple Linear Regression Basic Statistics and P-Value R-Squared The Essence of Multiple Linear Regression Easy? No. Worth it? Absolutely. Interpreting Coefficients in MLR Preparation Steps 1: MLR Analysis (Business Problem Analysis) Preparation Steps 2: Checking Linearity Preparation Steps 3: Correlation Analysis Preparation Steps 4: Single Variable Regressions Preparation Steps 5: Multiple Variable Regression Choosing Best Multiple Linear Regression Model The Essence of Dummy Variables Applying Multiple Linear Regression Using Excel Python 1: MLR (Stock Price Prediction) Python 2: MLR (Stock Price Prediction) Python 3: MLR Assignment (Human Life Expectancy) Python 4: MLR Assignment (Human Life Expectancy) Life Expectancy Assignment (Kaggle Problem)
Ridge & Lasso Regression
Python 1: Ridge Regression (Business Problem) L1 & L2 Regularization Techniques Python 2: Ridge Regression (Business Problem) Python 3: Ridge Regression (Business Problem) Python 4: Lasso Regression (Business Problem)
Polynomial Regression
The Essence of Residual Plots Polynomial Regression VS Quadratic Regression The Essence of Over-fitting Python: Polynomial Regression
Decision Trees & Random Forests Regression
The Essence of Decision Trees Regressor Python 1: Regression Trees (Petrol Consumption Prediction) Python 2: Regression Trees (Business Problem) The Essence of Random Forests Regression

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