• The main purpose of making this repository is to keep all my Machine Learning projects at one place, hence keeping my GitHub clean!
• It looks good, isn't it?
• This repository consists of all my Machine Learning projects.
• Datasets are provided in each of the folders above, and the solution to the problem statements as well.
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)
• Voting (Hard/Soft)
Do ⭐ the repository, if it helped you in anyway.