What you’ll learn
- Describe the input and output of a regression model
- Prepare data with feature engineering techniques
- Implement Linear & Polynomial Regression, RANSAC Regression, Decision Tree & Random Forest Regression, Support Vector Regression, Neural Networks models
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
How to Enroll Supervised Machine Learning in Python : Regression Analysis course?
How many members can access this course with a coupon?
Supervised Machine Learning in Python : Regression Analysis Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!