- Applied Machine Learning
- Dimensionality Reduction
- Machine Learning
- Regression Analysis
- Supervised Learning
- Python Programming
- Decision Tree Learning
- Feature Engineering
- Model Evaluation
- Predictive Modeling
- Classification Algorithms
- Logistic Regression
Machine Learning with Python
Completed by JOHANNES PETER GRAF
April 24, 2022
20 hours (approximately)
JOHANNES PETER GRAF'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
