Handling imbalanced data in Machine Learning using Python

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Data Science Webinars

Handling imbalanced data in Machine Learning using Python

August 17, 2019|Abhishek Periwal

Abhishek is an experienced Data Scientist with a demonstrated history of working in the internet/finance industry. He is highly skilled in Machine Learning, R, Python, SQL & Hive. Abhishek holds a masters degree in Civil Engineering from Indian Institute of Technology, Kanpur.

Key takeaways for you

  • Understanding of problem with imbalanced data
  • Under-sampling methods and its Python implementation
  • Oversampling methods and its Python implementation
  • Associated evaluation metrics (Precision, Recall, F1 Score)

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