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ApproachingAny Machine Learning Problem

Abhishek Thakur

This practical guide to applied machine learning is for those who already have some theoretical knowledge and want to learn how to approach machine learning and deep learning problems. The book includes a lot of code and is best enjoyed with a laptop or workstation. It covers topics such as setting up a working environment, feature selection, and hyperparameter optimization. The book does not explain algorithms but is oriented towards solving problems. Subscribe to the author's YouTube channel for tutorials and ask questions on the github repo.
Publish Date
2020-07-04T00:00:00.000Z
2020-07-04T00:00:00.000Z
Goodreads Rating
4.04
ISBN
9788269211504
Recommendations
1
Recommendations
2020-11-28T23:37:46.000Z
[Excellent Book] Approaching (Almost) Any #MachineLearning Problem: by @abhi1thakur (4X Kaggle Grandmaster) + See article: ——————— #BigData #AI #DataScience #DataScientists #DeepLearning #BeDataBrilliant #FeatureEngineering #Python      source