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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!
• It looks good, isn't it?

Overview

• 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.

Algorithms used

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.