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Photo by Luke Chesser on Unsplash

If you have some background in machine learning and you’d like to learn how to quickly improve the quality of your models, you’re in the right place!

  • tackle data types often found in real-world datasets (missing values, categorical variables),
  • design pipelines to improve the quality of your machine learning code,
  • use advanced techniques for model validation (cross-validation),

1. Handling missing values

A. Simple Option: Drop Columns with Missing Values

About

Rohan

Data Analyst

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