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.
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About this Course
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Try Coursera for BusinessSkills you will gain
- Artificial Intelligence (AI)
- Machine Learning
- Feature Engineering
- Statistical Hypothesis Testing
- Exploratory Data Analysis
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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
Reviews
- 5 stars71.17%
- 4 stars20.10%
- 3 stars5.24%
- 2 stars2.04%
- 1 star1.42%
TOP REVIEWS FROM EXPLORATORY DATA ANALYSIS FOR MACHINE LEARNING
I have learnt a lot of success artificial intelligence supervised machine learning hypotjesis testing Bayesian testingLtesting eeteetcet
Very nice course which explains beautifully about data cleaning and the statistical approach and then statistic model and then it ends with the hypothesis testing.
This is a well-structured course with easy-to-understand lectures and practical examples that help a lot in real data analysis life.
This is by far the best course I've encountered. It has an in-depth explanation of the codes they provide. Smooth and easy to understand language.
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