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  • Language
    Jupyter Notebook
  • Created over 4 years ago
  • Updated over 1 year ago

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Repository Details

This repository consists of all my Machine Learning Projects.

Machine Learning Projects

Dataset Python 3.6 NLTK

ML

Why this repository?

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

Overview

β€’ This repository consists of all my Machine Learning projects.
β€’ Datasets are provided in each of the folders above, and the solution to the problem statements as well.

Algorithms used

Regression:
β€’ Linear Regression
β€’ Multiple-Linear Regression
β€’ Logistic Regression
β€’ Polynomial Regression
β€’ Lasso and Ridge Regression (L1 & L2 Regularization)
β€’ Elastic-Net Regression

Classification:
β€’ K-Nearest Neighbours
β€’ Support Vector Machine
β€’ Naive Bayes
β€’ Decision Tree

Clustering:
β€’ K-Means

Ensemble:
β€’ Random Forest
β€’ Adaptive Boosting (AdaBoost)
β€’ Extreme Gradient Boosting (XGBoost)
β€’ Voting (Hard/Soft)

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