Regression Analysis in Machine Learning | Simple & Multiple Linear Regression with Python 📈
Welcome to Module 7 of the Complete Statistics for Machine Learning series! 🚀
In this video, you'll master:
✅ What is Regression Analysis?
✅ Simple Linear Regression vs Multiple Regression
✅ How to predict a target variable using independent features
✅ Understanding OLS Output: R-squared, p-values, coefficients, CI, and more
✅ Python demo using statsmodels to build and evaluate regression models
✅ Real-world example: Predicting Income based on Age
Regression is one of the most powerful tools in machine learning and statistics. Whether you're a beginner or an aspiring data scientist, this video connects theory with practice using Python.
🔔 Subscribe for the next modules:
Module 8: ANOVA, Chi-Square, and Multicollinearity
Module 9: Statistics in ML Workflow
📁 Python Code Includes:
Building a regression model with statsmodels
Interpreting OLS output (t-stats, p-values, R²)
Residuals, diagnostic metrics, and significance testing
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