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ML-DLbasics

Basic machine learning models for easy learning

  • Linear Regression
  • Logistic Regression
  • K-Nearest Neighbours
  • K-Means Clustering
  • Naive Bayes
  • SVMs
  • Decision Trees
  • Random Forest
  • Dimensionality Reduction Algorithms
  • Gradient Boosting algorithms- XGBoost, GBM, LightGBM, CatBoost
  • Autoencoder
  • Deep Belief Networks (RBM ??)

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Pull Requests

Pull Requests are always welcome.