The Nuts and Bolts of Machine Learning
Completed by Cornelis Johannes Donker
January 29, 2024
33 hours (approximately)
Cornelis Johannes Donker's account is verified. Coursera certifies their successful completion of The Nuts and Bolts of Machine Learning
What you will learn
Identify characteristics of the different types of machine learning
Prepare data for machine learning models
Build and evaluate supervised and unsupervised learning models using Python
Demonstrate proper model and metric selection for a machine learning algorithm
Skills you will gain
- Category: Applied Machine Learning
- Category: Random Forest Algorithm
- Category: Model Evaluation
- Category: Machine Learning
- Category: Predictive Modeling
- Category: Analytics
- Category: Classification Algorithms
- Category: Machine Learning Algorithms
- Category: Python Programming
- Category: Feature Engineering
- Category: Performance Tuning
- Category: Decision Tree Learning
