Here is list of basic algorithms topics we help
Linear Regression
Logistic Regression and Gradient Descent
Statistical Modelling
Decision Trees for Classification and Regression
Random Forest Algorithm
K-Means Clustering
Gradient Boosting : XBoost and CatBoost
Model Selection : Feature Selection, Dimensionality, Cross-Validation
Model Evaluation : Performance Metrics
Model Interpretation : Explainable AI & ML
ML Hands On and Best Practices
