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 stars71.61%
- 4 stars20.46%
- 3 stars4.60%
- 2 stars2.30%
- 1 star1.02%
來自EXPLORATORY DATA ANALYSIS FOR MACHINE LEARNING的熱門評論
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.
Recommended course for those wanting to advance their understanding about Exploratory Data Analysis for Machine Learning.
Good introduction. The time estimates to complete assignments are off. Need a lot more material and direction for assignments to aid learning.
if you really make the exercises and the final assignment the course really contributes you to better understand Data Analysis