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This repository contains algorithmic implementation of machine learning algorithms and also usage of ML algorithms using scikit.

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Machine-Learning

This repository contains python programs for machine learning algorithms, some implemented from scratch and some using scikit learn.

Implemented Machine Learning Algorithms

  1. Linear Regression
  2. Logistic Regression
  3. Decision Trees using ID3 algorithm
  4. Bagging and Boosting using decision trees
  5. Naive Bayes
  6. Deep Learning using PyTorch - MNIST Digit Recognition
  7. Deep Learning using Tensorflow - Digit Recognition

Maching Learning using Libaries - Scikit Learn

  1. Bagging and Boosting using scikit
  2. Decision Trees using scikit
  3. SVM using scikit
  4. Clustering
  5. Image Segmentation using Spectral Clustering

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This repository contains algorithmic implementation of machine learning algorithms and also usage of ML algorithms using scikit.

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machine-learning deep-learning scikit-learn machine-learning-algorithms adaboost regression-models decision-tree-algorithm bagging-trees

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