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Artem Ryblov’s Data Science Weekly Artem Ryblov’s Data Science Weekly @data_science_weekly · 684 subscribers
Post #227 539
Kaggle Tips for Feature Engineering and Selection

Gilberto Titericz explores essential techniques for improving model accuracy, emphasizing exploratory data analysis and human intuition in feature engineering.

Learn strategies for handling high-cardinality categorical features, missing values, and combining variables to maximize performance in competitions.

Link: YouTube

Navigational hashtags: #armknowledgesharing #armyoutube
General hashtags: #ml #featureselection #featureselection #machinelearning

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