This is my code documentation and Notes from How to wim kaggle competition on DataCamp Before going to this course you should know:
- ML into on Kaggle
- ML Intermediate
- Feature Engineering
- Background in DataScience
- Tried to submit a competition on Kaggle before All of these was kaggle's courses is gonna help to know more about the main concepts of ML: https://developers.google.com/machine-learning/crash-course/feature-crosses/video-lecture Also there's book you can read for the next step : Automating boring stuff with Python Python for data analysis Data science from scratch Feature engineering Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow
I want to record my journey with this course and I will put any updates