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Machine Learning Projects

Dataset Python 3.6 NLTK

ML

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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