Practical Machine Learning
Completed by Lucas Makrakis Policarpo
October 3, 2016
8 hours (approximately)
Lucas Makrakis Policarpo'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: Feature Engineering
- Category: Machine Learning Methods
- Category: Machine Learning Software
- Category: Regression Analysis
- Category: Applied Machine Learning
- Category: Model Evaluation
- Category: Model Training
- Category: Predictive Modeling
- Category: Data Preprocessing
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Machine Learning
