Machine learning beginner โ 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
Day๐ | Task | Code Link ๐ |
---|---|---|
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 |