NOTE:

• This is not my work. A big thank you to the authors of the notebooks provided. A link to every notebook is provided below. If you find their work useful please spare a little of your time and click on the link to the specific notebook(s) and upvote their work.
• This is a small list of the resourceful notebooks I personally have come across. There are still a bunch of more useful notebooks out there!

NLP

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• improve your score with some text preprocessing
• improve your score with some text preprocessing-V2
• getting started with text preprocessing
• nlp with disaster tweets eda cleaning and bert
• RoBerta meets TPUs
• Text classification with CatBoost
  • Text classification with catboost
  • CatBoost with text feature

Feature Engineering

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• Feature Engineering - A Comprehensive Tutorial
• feature selection tutorial
• Comprehensive Tutorial: Feature Engineering

Competition winnings

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• Solution_for_the_Womxn_in_Big_Data_South_Africa_competition(Regression/stacking/bagging)
• Mr Steller - Prohack hackathon(Regression + Optimization)

Deep Learning

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• Intro to Keras with breast cancer data[ANN]
• Introduction to Pytorch (a very gentle start)

Time Series

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• TPS2201_Hybrid_Time_Series
• Complete Guide on Time Series Analysis in Python

DS and ML in general

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• A Guide to Handling Missing values in Python

Other

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• Retrieve coordinates from location name
• Tuning Hyperparameters with Optuna.