7 machine learning secrets

Data cleaning and engineering take 80% of the time of the project I’m working on.
It’s better to understand the key math for data science than try to master it all.
Neural networks look cool on a resume but XGBoost and Logistic regression pay the bills
SQL is a non-negotiable even as a machine learning engineer
Hyperparameter tuning is a must
Project-based learning > tutorials
Cross-validation is your best friend

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