The Best Way to Tune Hyperparameters? | GridSearch vs Optuna

Try CodeCrafters for free using my referral link: https://app.codecrafters.io/join?via=trentpark8800 In this video I go through hyperparameter fine tuning starting from not knowing what they are, all the way up to using advanced frameworks like Optuna in python. Hyperparameter fine tuning is essential for any aspiring data scientist or machine learning engineer! 📖CHAPTERS 00:00 - Intro 02:00 - Demo setup 08:22 - What even are hyperparameters? 15:12 - Manually tuning hyperparameters 17:58 - Searching parameter combinations 42:48 - Using Optuna for tuning 54:18 - Visualisation with Optuna 58:10 - Storing results in Optuna 1:02:45 - Creating multiple Optuna studies 1:06:19 - Bonus: experimental workflow with Optuna 1:17:28 - Conclusion and Thanks! 🔗LINKS - Github repo: https://github.com/trentpark8800/hyperparameter-tuning-tutorial - Scikit-learn article on hyperparameters: https://scikit-learn.org/stable/modules/grid_search.html#grid-search - Optuna: https://optuna.org/#code_examples 💵SUPPORT THE CHANNEL - Become a channel member: https://www.youtube.com/channel/UCY5ZuZAWVUBzkDXQr5b84sQ/join - Direct, once off transfers: https://www.paypal.com/paypalme/trentdoesmath