Week 14 - Machine Learning - Data Preparation for automobile prices & german bank credit from Principles of M.L. Python by Microsoft Learning

Liaw Bei Le · June 26, 2021

Learning   Python   Machine Learning   Matplotlib   Seaborn   Pandas
  • Data Preparation for Machine Learning
  • Recode column names containing special characters
  • Treat missing values
  • Transform column data types
  • Feature engineering
    • Aggregating categories to reduce the number of categories
    • Transforming numeric variables to improve their distribution properties
    • Compute new features from two or more existing features
  • Remove duplicates

These are my notes taken from Microsoft Learning’s Principles of Machine Learning in Python - Module 3.

What I learnt:

Data Preparation

I have reviewed and went through Data Preparation for automobile prices & german bank credit in this link.

More ways to detect and deal with missing values are discussed in this link.

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