This repository consists of all my Machine Learning Project. Datasets are provided in each of the folders above, and also the solution to the problem statements have been provided.

• Linear Regression
• Logistic Regression
• Lasso Regression
• Support Vector Machine Regression/Classification
• Naive Bayes Classification
• Decision Tree Regression/Classification
• Random Forest Regression/Classification
• K-Nearest Neighbours
• K-Means
• Adaptive Boosting (AdaBoost) Algorithm
• Extreme Gradient Boosting (XGBoost) Algorithm

• Please do ⭐ the repository, if it helped you in anyway.