- Applied Machine Learning
- Feature Engineering
- Analytics
- Data Preprocessing
- Workflow Management
- Scikit Learn (Machine Learning Library)
- Supervised Learning
- Unsupervised Learning
- Performance Tuning
- Machine Learning
- Random Forest Algorithm
- Python Programming
The Nuts and Bolts of Machine Learning
Completed by Yash Jain
October 12, 2024
34 hours (approximately)
Yash Jain'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
