Machine Learning with Python
Completed by Henrik Harms
March 24, 2023
20 hours (approximately)
Henrik Harms'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: Decision Tree Learning
- Category: Machine Learning Methods
- Category: Predictive Analytics
- Category: Logistic Regression
- Category: Regression Analysis
- Category: Model Evaluation
- Category: Machine Learning
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Supervised Learning
