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.
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
- 5 stars71.79%
- 4 stars20.04%
- 3 stars4.77%
- 2 stars2.21%
- 1 star1.16%
來自EXPLORATORY DATA ANALYSIS FOR MACHINE LEARNING的熱門評論
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.
Very well curated course. Walks through all the topics in detail. Would be better if the professor had a little bit higher voice.
Very Clear ,Easy to Understand ,Good Explanation,Very Good Course.I just Upgrade myself doing this course.Thank you IBM Teachers :)
Recommended course for those wanting to advance their understanding about Exploratory Data Analysis for Machine Learning.