Machine Learning with Python
Completed by Dominik Schwinn
July 9, 2023
20 hours (approximately)
Dominik Schwinn'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: Feature Engineering
- Category: Unsupervised Learning
- Category: Machine Learning
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Model Evaluation
- Category: Regression Analysis
- Category: Decision Tree Learning
- Category: Predictive Modeling
- Category: Dimensionality Reduction
- Category: Python Programming
- Category: Logistic Regression
