Machine Learning Projects

Why this repository?

• The main purpose of making this repository is to keep all my Machine Learning projects at one place, hence keeping my GitHub clean!<br/>
• It looks good, isn't it?

Overview

• This repository consists of all my Machine Learning projects.<br/>
• Datasets are provided in each of the folders above, and the solution to the problem statements as well.

Algorithms used

Regression:<br/>
• Linear Regression<br/>
• Multiple-Linear Regression<br/>
• Logistic Regression<br/>
• Polynomial Regression<br/>
• Lasso and Ridge Regression (L1 & L2 Regularization)<br/>
• Elastic-Net Regression

Classification:<br/>
• K-Nearest Neighbours<br/>
• Support Vector Machine<br/>
• Naive Bayes<br/>
• Decision Tree<br/>

Clustering:<br/>
• K-Means<br/>

Ensemble:<br/>
• Random Forest<br/>
• Adaptive Boosting (AdaBoost)<br/>
• Extreme Gradient Boosting (XGBoost)<br/>
• Voting (Hard/Soft)<br/>

Do ⭐ the repository, if it helped you in anyway.