Course Content Data Preprocessing Code Amazon Data Set Outliers and Noisy Data Training Loss and Testing Loss Overfitting Models with an Example Underfitting Models with an Example Types of Supervised Learning Algorithms with an Example Calculating Accuracy in Classification Calculating Accuracy in Regression RMSE K Fold Cross Validation Understanding with an Example Problem with Imbalanced Data Confusion Matrix for Binary Classification ROC Curve for Binary Classification Intuition on Naive Bayes Classification in Machine Learning Mathematics Basics Required for Naive Bayes Understanding Naive Bayes Classification Algorithm Mathematics Laplace Smoothing in Naive Bayes Hyperparameter Underfitting and Overfitting in Naive Bayes Log Probability Imbalanced Data Numerical Features in Naive Bayes Multinomial Naive Bayes Code on Amazon Data set Gaussian Naive Bayes Code on Cardio Data set 7 of 13
