Practical Machine Learning
Completed by Yassine HACHAICHI
April 25, 2020
8 hours (approximately)
Yassine HACHAICHI's account is verified. Coursera certifies their successful completion of Practical Machine Learning
What you will learn
Use the basic components of building and applying prediction functions
Understand concepts such as training and tests sets, overfitting, and error rates
Describe machine learning methods such as regression or classification trees
Explain the complete process of building prediction functions
Skills you will gain
- Category: Supervised Learning
- Category: Model Training
- Category: Regression Analysis
- Category: R Programming
- Category: Predictive Modeling
- Category: Feature Engineering
- Category: Applied Machine Learning
- Category: Random Forest Algorithm
- Category: Predictive Analytics
- Category: Data Preprocessing
- Category: Classification And Regression Tree (CART)
- Category: Classification Algorithms
