Course: Missing Data Handling: Detection and Exploration

in course jupyter-notebook platzi python tutorial missing-values eda

September 9, 2022

Image description of course

In data science, you will always encounter incomplete datasets you must deal with. This course teaches you how to address missing values and find relationships between them. Execute the best treatment to your data with missing values, eliminating or imputing them.

  • Find relationships between missing values.
  • Understands methods for dealing with missing values.
  • Encodes, converts and manipulates missing values of various types.
  • Tabulate and visualize missing values in your data.
Details
Posted on:
September 9, 2022
Length:
1 minute read, 70 words
Categories:
course jupyter-notebook platzi python tutorial missing-values eda
Tags:
course jupyter-notebook platzi python tutorial missing-values eda
See Also:
Platzi Reviews - GraphQL Server
Course: Missing Data Handling: Imputation
Course: Exploratory Data Analysis