Ressources for ML and Data Analysis

In this repository, I will put code I often use, as well as links to code, tutorials, and usefull courses.
I hopefully will add folders with collections of R code and python code for useful code, which I use regularly, or should use regularly...
Also, I will hopefully add some more links for useful repositories and other useful code and tutorials.

links to other repositories I might find usefull

• Python-Notebooks by mithun
• NotebookExplore

Notebooks

Best of Kaggle-Notebook Series by Shivam Bansal

• Linear Models

• Time Series

• Trees and Boosting Models

• Natural Language Processing

• Pytorch, TensorFlow, Keras

• CNNs, LSTMs, GRU, AutoEncoder, Tabnet, UNet

• HyperParameter Optimization Tools

• Ensembling Techniques (Bagging, Boosting, Stacking)

• Machine Learning Explainability

• Unsupervised Learning, Recommendations Engines

  more to be added soon