I am learning ML using Kaggle Tutorials... This repo is where all my notes are.
Feel free to use them for your prepartion too! Look at the first line in each of the markdown documents for a link to the kaggle course on which the document is based on.
As of now, this repo has:
| Folder | File | What? |
|---|---|---|
| Introduction-to-machine-learning-tut1 | kaggle-tut1.md | Introduction to Machine Learning: How models work, basic pandas, steps to create a model, over/under fitting, Decision Trees, Random Forest Regressors, MAE (Mean Absolute Error) |
| intermediate-machine-learning-tut2 | tut2.md | Intermediate Machine Learning: Missing values, Categorical Variables, Pipelines, Cross-validation, XGBoost, avoiding common data science mistakes--data leakage. |
* - In Progress