Introduction to Machine Learning with SciKit LearnDeep Dive into Regression and Classification Metrics

This course provides an in-depth understanding of evaluation metrics for both regression and classification models. By the end of this course, you will be able to evaluate the performance of your machine learning models properly in different scenarios.

Changing RMSE to MAE Calculation

Calculating House Price Errors

Compare MSE and MAE effects

Complete the Linear Regression Code and Calculate MAE

Update Predictions for R-Squared Calculation

Calculating R-squared for House Prices

Compare R-sqared to MSE

Confusion Matrix Values in Spam Classification

Calculate Precision and Recall

Calculate Accuracy for Email Classification

Calculate Classification Metrics

Compute Confusion Matrix and F1-Score

Calculating TPR and FPR

Calculate AUC-ROC for Medical Test

Calculating AUC-ROC for Medical Diagnosis

ROC Curve Plotting and AUC Calculation