- Predictive Modeling
- Data Preprocessing
- Logistic Regression
- Unsupervised Learning
- Supervised Learning
- Model Evaluation
- Feature Engineering
- Decision Tree Learning
- Machine Learning
- Anomaly Detection
- Regression Analysis
- Classification Algorithms
Foundations of Machine Learning
Completed by Artūrs Buls
December 28, 2024
25 hours (approximately)
Artūrs Buls's account is verified. Coursera certifies their successful completion of Foundations of Machine Learning
What you will learn
Construct Machine Learning models using the various steps of a typical Machine Learning Workflow
Apply appropriate metrics for various business problems to assess the performance of Machine Learning models
Develop regression and tree based Machine learning Models to make predictions on relevant business problems
Analyze business problems where unsupervised Machine Learning models could be used to derive value from data
Skills you will gain
