Introduction to Exploratory Data Analysis (EDA)

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Получаемые навыки

Artificial Intelligence (AI), Machine Learning, Feature Engineering, Statistical Hypothesis Testing, Exploratory Data Analysis

Рецензии

4.6 (оценок: 1,056)

  • 5 stars
    70,92 %
  • 4 stars
    20,35 %
  • 3 stars
    5,30 %
  • 2 stars
    1,98 %
  • 1 star
    1,42 %

NS

23 нояб. 2021 г.

The course is exceptional and a huge learning opportunity for Exploratory Data Analysis. The final project is the best part of the course and helps to apply the concepts to real life data.

AS

15 авг. 2021 г.

IBM courses are most valuable courses, quite a lot of learning happens here. I recommend students when it is time to chose a Brand IBM can be considered in top 5 List. Happy learning.

Из урока

Exploratory Data Analysis and Feature Engineering

In this module you will learn how to conduct exploratory analysis to visually confirm it is ready for machine learning modeling by feature engineering and transformations.

Преподаватели

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    Joseph Santarcangelo

    Ph.D., Data Scientist at IBM

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    Svitlana (Lana) Kramar

    Data Science Content Developer

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