Practical Machine Learning
Completed by SYED FARHAN HAIDER N/A
October 31, 2019
8 hours (approximately)
SYED FARHAN HAIDER N/A'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: R Programming
- Category: Feature Engineering
- Category: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Classification And Regression Tree (CART)
- Category: Predictive Modeling
- Category: Machine Learning Software
- Category: Model Evaluation
- Category: Regression Analysis
- Category: Predictive Analytics
