I covered these topics in this repository:-
- Supervised Learning
- Regression problems >> using models >> Linear Regression
- Classification problems >> using models >> Logistic Regression
- Feature Engineering
- Feature Scaling >> Normalization & Standardization(also known as z-score normalization)
- Handling Categorical Data >> One-Hot Encoding & Ordinal Encoding & Label Encoding
- Mathematical Transformations >> Function Transformers(log, square, squareroot, reciprocal transformers...) & Power Transformers(Box-Cox, Yeo-Johnson)
- Supervised Algorithms(Linear, Logistic, SVM, Naiye Bayes, Random Forest, Decision Tree Classifiers and Regressors)
- Unsupervised Algorithms(K-Means clustering)