Machine learning beginner → Kaggle competitor in 30 days.
- Python course: https://www.kaggle.com/learn/python
- Intro to ML course: https://www.kaggle.com/learn/intro-to-machine-learning
- Intermediate ML course: https://www.kaggle.com/learn/intermediate-machine-learning
- 30 Days of ML competition: https://www.kaggle.com/c/30-days-of-ml
- Getting Started with 30 Days of ML Competition: https://www.kaggle.com/alexisbcook/getting-started-with-30-days-of-ml-competition
- competition part-1: baseline notebook: https://www.kaggle.com/abhishek/competition-part-1-baseline
- blending blending blending notebook: https://www.kaggle.com/abhishek/blending-blending-blending
| Day📆 | Task | Code Link 🔗 |
|---|---|---|
| 01 | Titanic-Random Forest | Day_01_Link |
| 02 | Hello, Python | Day_02_Link |
| 03 | Function & Getting Help | Day_03_Link |
| 04 | Booleans and Conditionals | Day_04_Link |
| 05 | Lists and Loops & List Comprehensions | Day_05_Link |
| 06 | Strings and Dictioniaries | Day_06_Link |
| 07 | Working with External Libraries | Day_07_Link |
| 08 | Model-Work & Basic-Data-Exploration | Day 08_Link |
| 09 | First-Machine-Learning-Model-and-Model-Validation | Day 09 Link |
| 10 | Underfitting-and-Overfitting-&-Random-Forests | Day 10_Link |
| 11 | Machine-Learning-Competitions | Day 11 Link |
| 12 | Introduction-to-Missing-values-&categorical-values | Day 12 Link |
| 13 | Pipelines-&-Cross-validations | Day 13 Link |
| 14 | XGBoost-&-Data-validation | Day 14 Link |
| 15 | 15 Day Kaggle Competition | Day_15_link |
| 16 | 16 Day Kaggle Competition | Day_16_link |
| 17 | 17 Day Kaggle Competition | Day_17_link |
| 18 | 18 Day Kaggle Competition | Day_18_link |
| 19 | 19 Day Kaggle Competition | Day_19_link |
| 20 | 20 Day Kaggle Competition | Day_20_link |