Exploratory Data Analysis (EDA) for Machine Learning

Exploratory Data Analysis (EDA) for Machine Learning

What you’ll learn

  • You will learn everything you need to know about exploratory data analysis, a method used to analyze and summarize data sets.
  • You will gain insights on what should be done with your data set before beginning the work on building ML models
  • You will implement data cleaning and validation tasks to get your data ready for data mining activities
  • You will learn to estimate parameters and figure the margins of error
  • You can understand the structure and content of your data
  • You will learn to identify obvious errors, as well as better understand patterns within the data, detect outliers or anomalous events, find interesting relations among the variables.
  • You will learn to determine if the statistical techniques you are considering for data analysis are appropriate.

Who this course is for:

  • Data Scientists, Python Programmers, ML Practitioners, IT Managers managing data science projects

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?

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