• To keep my GitHub organized, I've created this repository to house all of my Machine Learning-related code.!
• My Machine Learning work is stored here.
• Each of the aforementioned folders contains a dataset, as well as the answers to the corresponding problem statements.
Regression:
• Linear Regression
• Multiple-Linear Regression
• Logistic Regression
• Polynomial Regression
• Lasso and Ridge Regression (L1 & L2 Regularization)
• Elastic-Net Regression
Classification:
• K-Nearest Neighbours
• Support Vector Machine
• Naive Bayes
• Decision Tree
Clustering:
• K-Means
Ensemble:
• Random Forest
• Adaptive Boosting (AdaBoost)
• Extreme Gradient Boosting (XGBoost)
Do ⭐ the repository, if it helped you in anyway.