This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing.
Exploratory Data Analysis for Machine Learning
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Exploratory Data Analysis for Machine Learning
This course is part of multiple programs.
Instructors: Joseph Santarcangelo
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2,584 reviews
Intermediate level
Some related experience required
Flexible schedule
1 week at 10 hours a week
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Skills you'll gain
- Applied Machine Learning
- Statistical Inference
- Data Import/Export
- Data Manipulation
- Data Analysis
- Data Preprocessing
- Statistical Hypothesis Testing
- Feature Engineering
- Probability & Statistics
- Exploratory Data Analysis
- Statistical Methods
- Statistics
- Data Processing
- Data Transformation
- Data Wrangling
- Machine Learning
- Data Access
- Data Science
- Statistical Analysis
- Data Cleansing
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Taught in English
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There are 5 modules in this course
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Showing 3 of 2584
KG
Reviewed on Nov 4, 2022
Good introduction to the workflow in EDA for ML. I appreciate the code examples that provide a useful reference to code syntax and some practice with EDA.
ML
Reviewed on Sep 21, 2021
Excellent, very detailed. However, if the lessons can be expand for hypothesis testing and some of their common test like T test, Anova 1 and 2 way, chi square,..it would be better further.
AP
Reviewed on Feb 25, 2023
This course was amazing. I always assumed that EDA was the challenging part of ML, But in this course I found it so cool. can't wait for the next course.
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