tutorials

tutorials copied to clipboard

The plt render should be moved back one indentation, since you're really only interested in the final result and it saves you 5000 unnecessary renders def monte_carlo(n): results = 0...

slawdogporsche

This line : `top_similar_user_ratings.extend([global_avg_rating[movie]] * (5 - len(ratings)))` should be `top_similar_user_ratings.extend([global_avg_rating[movie]] * (5 - len(top_similar_user_ratings)))` Because len(ratings) is a const large value here which is not right. https://github.com/towardsai/tutorials/blob/master/recommendation_system_tutorial/recommendation_system_tutorial_netflix.py#L174

oyzh888

Handling Mislabeled Tabular Data Notebook

1

This notebook details how to use data-centric techniques to find mislabeled tabular data and train more robust XGBoost (and other) models. I also [published](https://pub.towardsai.net/handling-mislabeled-tabular-data-to-improve-your-xgboost-model-fbe051f4a6a6) the article on your site which...

cmauck10

mrmickii