Machine Learning with Python
Completed by Erric Pineda Corea
September 20, 2024
20 hours (approximately)
Erric Pineda Corea'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: Machine Learning Algorithms
- Category: Logistic Regression
- Category: Supervised Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Python Programming
- Category: Classification Algorithms
- Category: Dimensionality Reduction
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Model Optimization
- Category: Statistical Methods
