What you’ll learn
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Describe the input and output of a regression model
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Prepare data with feature engineering techniques
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Implement Linear & Polynomial Regression, RANSAC Regression, Decision Tree & Random Forest Regression, Support Vector Regression, Neural Networks models
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Use a variety of performance metrics such as Mean Absolute Error, Mean Squared Error, Root Mean Squared Error, Max Error and R².
Who this course is for:
- Research scholars and college students
- Industry professionals and aspiring data scientists
- Beginners starting out to the field of Machine Learning
Can I download Regression Analysis : Supervised Machine Learning in Python course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Regression Analysis : Supervised Machine Learning in Python course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
