- Predictive Modeling
- Classification Algorithms
- Unsupervised Learning
- Regression Analysis
- Python Programming
- Dimensionality Reduction
- Model Evaluation
- Supervised Learning
- Decision Tree Learning
- Applied Machine Learning
- Feature Engineering
- Machine Learning
Machine Learning with Python
Completed by Erik Lo Grasso
June 20, 2024
20 hours (approximately)
Erik Lo Grasso's account is verified. Coursera certifies their successful completion of Machine Learning with Python
What you will learn
Explain key concepts, tools, and roles involved in machine learning, including supervised and unsupervised learning techniques.
Apply core machine learning algorithms such as regression, classification, clustering, and dimensionality reduction using Python and scikit-learn.
Evaluate model performance using appropriate metrics, validation strategies, and optimization techniques.
Build and assess end-to-end machine learning solutions on real-world datasets through hands-on labs, projects, and practical evaluations.
Skills you will gain
