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anujvyas

Machine-Learning-Projects

This repository consists of all my Machine Learning Projects.

TutorialsML/AI fundamentalsJupyter Notebook
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Created 2020-03-24 · Updated 2026-10-13 · #14097 today
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README

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.

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