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.
About this Course
Skills you will gain
- Artificial Intelligence (AI)
- Machine Learning
- Feature Engineering
- Statistical Hypothesis Testing
- Exploratory Data Analysis
Syllabus - What you will learn from this course
A Brief History of Modern AI and its Applications
Retrieving and Cleaning Data
Exploratory Data Analysis and Feature Engineering
Inferential Statistics and Hypothesis Testing
- 5 stars71.27%
- 4 stars19.98%
- 3 stars5.26%
- 2 stars2.05%
- 1 star1.42%
TOP REVIEWS FROM EXPLORATORY DATA ANALYSIS FOR MACHINE LEARNING
Very well curated course. Walks through all the topics in detail. Would be better if the professor had a little bit higher voice.
The only reason that I do not give it 5 stars is because the website of coursera is not good enough to handle the peer review assignments at the end of the course.
This course was really good for me because it went into depth on what I believe is the most important part of ML which is the data analysis and preparation.
Very detailed course of Exploratory Data Analysis for Machine learning. Ready to take the next step in data science or Machine learning, this is great course for taking you to the next level.
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Certificate?
More questions? Visit the Learner Help Center.