Exploratory Data Analysis (EDA) for Machine Learning

Exploratory Data Analysis (EDA) for Machine Learning

What you’ll learn

  • What is EDA
  • Why EDA is needed
  • What is multi collinearity
  • How to identify outliers
  • How to identify relationship between variables
  • Chi Square Test & other tests
  • How to transform continuous data
  • How to transform categorical dara
  • Central Tendency Vs Dispersion
  • How to handle missing values in your dataset
  • How to apply EDA (through an assignment)
  • How to derive maximum value for your data

How to Enroll Exploratory Data Analysis (EDA) for Machine Learning course?

  • To Access "Exploratory Data Analysis (EDA) for Machine Learning" Click on Enroll Now button at end of the post. It will redirect you to Udemy Course Page and then you can start the enrollment process.
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  • How many members can access this course with a coupon?

    Exploratory Data Analysis (EDA) for Machine Learning Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!

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