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Clustering and Dimensionality Reduction


Machine Learning Specializations


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Python Feature Engineering Cookbook.

Python Feature engineering Cookbook

Feature Selection in Machine Learning Book

Feature Selection in Machine Learning


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7 Takes on Working with Imbalanced Data - Digital booklet

7 Takes on Working with Imbalanced Data


Sole discusses three recent articles that shift the conversation around handling imbalanced datasets.

These articles explore whether generating synthetic data is effective with current state-of-the-art algorithms, and examine the implications of using synthetic data on model performance and deployment.

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Instructors



Soledad Galli: Data Scientist, Instructor, Open Source Developer

Soledad Galli, PhD

Lead Data Scientist


Kishan Manani, Data Scientist, Instructor

Kishan Manani, PhD

Lead Data Scientist




Dalibor Veljkovic, Data Scientist, Instructor

Dalibor Veljkovic

Lead Data Scientist





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