This is presentation/training prepared for DataKRK. I'll be happy if it help you start solve challenges on Kaggle 😄!
git clone https://github.com/slon1024/lets-start-solve-problem-on-kaggle
cd lets-start-solve-problem-on-kaggle
git fetch
After this you will have all three steps (in different branches, initial step is on the master
).
- Step 1 is on the branch
step1
(git checkout step1
) - Step 2 is on the branch
step2
(git checkout step2
) - Step 3 is on the branch
step3
(git checkout step3
)
Note: github allowing you do a qucik review (of course readonly). For bigger scripts this works very slowwwwly.
- Step 0 (initial step)
- Step 1 (improve evaluation a model)
- Step 2 (understand better data and improve a model)
- Step 3(feature engineering and tuning model)
I recommend to you follow step by step.
If you have any questions or ideas, please let me know.