Machine Learning with Python
Completed by Daniel Gärtner
January 7, 2020
20 hours (approximately)
Daniel Gärtner'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
- Category: Model Training
- Category: Regression Analysis
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Model Optimization
- Category: Python Programming
- Category: Classification Algorithms
- Category: Unsupervised Learning
- Category: Supervised Learning
- Category: Dimensionality Reduction
- Category: Machine Learning Methods
