Practical Machine Learning
Completed by KARTIKEY HADIYA
November 21, 2020
8 hours (approximately)
KARTIKEY HADIYA'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: Classification Algorithms
- Category: Random Forest Algorithm
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: R Programming
- Category: Machine Learning Methods
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Machine Learning
- Category: Machine Learning Algorithms
