WEEK 06

PROGRESS: 0 / 14

MODELING // CORRELATION & MULTICOLLINEARITY [ACTIVE SESSION]

SUMMARY // WHAT WE LEARNED

📈 Correlation & Multicollinearity: Drawing a line of best fit. Predicting continuous values like wine prices.
🍷 Features & Target: Using independent variables (features) to predict the dependent variable (target).
🎯 Evaluation Metrics: MAE, MSE, RMSE, and R². How we know if our model is any good or just guessing.
⚖️ Interpretation: Understanding coefficients and intercepts. Decoding the math behind the predictions.

CORE MATERIALS

BONUS MATERIALS