Ch-1-ML-Fundamentals○Evaluation Metrics○Linear Regression○Logistic Regression○Loss Functions○The ML Workflow○RegularizationCh-2-Supervised-Learning-Algorithms○Decision Trees○K-Nearest Neighbors (KNN)○Naive Bayes○Random Forests○Support Vector Machines (SVM)Ch-3-Advanced-ML○CatBoost○Gradient Boosting○LightGBM○Model Selection○XGBoostCh-4-Unsupervised-Learning○Anomaly Detection○Clustering○DBSCAN○K-Means○PCA (Principal Component Analysis)
Ch-1-ML-Fundamentals○Evaluation Metrics○Linear Regression○Logistic Regression○Loss Functions○The ML Workflow○Regularization
Ch-2-Supervised-Learning-Algorithms○Decision Trees○K-Nearest Neighbors (KNN)○Naive Bayes○Random Forests○Support Vector Machines (SVM)
Ch-4-Unsupervised-Learning○Anomaly Detection○Clustering○DBSCAN○K-Means○PCA (Principal Component Analysis)