Machine Learning with Python
Completed by Angel Chavez-Penate
May 16, 2024
20 hours (approximately)
Angel Chavez-Penate'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: Scikit Learn (Machine Learning Library)
- Category: Regression Analysis
- Category: Model Evaluation
- Category: Python Programming
- Category: Dimensionality Reduction
- Category: Machine Learning Methods
- Category: Model Training
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Unsupervised Learning
- Category: Model Optimization
- Category: Machine Learning
