Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

Overview

MLWithPyTorch

30 Days Of Machine Learning Using Pytorch

Objective of the repository is to learn and build machine learning models using Pytorch.

List of Algorithms Covered

πŸ“Œ Day 1 - Linear Regression
πŸ“Œ Day 2 - Logistic Regression
πŸ“Œ Day 3 - Decision Tree
πŸ“Œ Day 4 - KMeans Clustering
πŸ“Œ Day 5 - Naive Bayes
πŸ“Œ Day 6 - K Nearest Neighbour (KNN)
πŸ“Œ Day 7 - Support Vector Machine
πŸ“Œ Day 8 - Tf-Idf Model
πŸ“Œ Day 9 - Principal Components Analysis
πŸ“Œ Day 10 - Lasso and Ridge Regression
πŸ“Œ Day 11 - Gaussian Mixture Model
πŸ“Œ Day 12 - Linear Discriminant Analysis
πŸ“Œ Day 13 - Adaboost Algorithm
πŸ“Œ Day 14 - DBScan Clustering
πŸ“Œ Day 15 - Multi-Class LDA
πŸ“Œ Day 16 - Bayesian Regression
πŸ“Œ Day 17 - K-Medoids
πŸ“Œ Day 18 - TSNE
πŸ“Œ Day 19 - ElasticNet Regression
πŸ“Œ Day 20 - Spectral Clustering
πŸ“Œ Day 21 - Latent Dirichlet
πŸ“Œ Day 22 - Affinity Propagation
πŸ“Œ Day 23 - Gradient Descent Algorithm
πŸ“Œ Day 24 - Regularization Techniques
πŸ“Œ Day 25 - RANSAC Algorithm
πŸ“Œ Day 26 - Normalizations
πŸ“Œ Day 27 - Multi-Layer Perceptron
πŸ“Œ Day 28 - Activations

Let me know if there is any correction. Feedback is welcomed.

References

  • Sklearn Library
  • ML-Glossary
  • ML From Scratch (Github)
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Comments
  • video link for this repository

    video link for this repository

    Is there a youtube video for this repository or is this a self-study course? If there is a video link, can someone please post it as a reply?

    Thank you!

    opened by The-Coding-Kid 1
Owner
Mayur
Waiting for Robot Uprising !
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