Machine Learning with Python
Completed by Daniel Alves Yáñez
January 27, 2020
20 hours (approximately)
Daniel Alves Yáñez'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: Dimensionality Reduction
- Category: Applied Machine Learning
- Category: Model Training
- Category: Supervised Learning
- Category: Python Programming
- Category: Regression Analysis
- Category: Scikit Learn (Machine Learning Library)
- Category: Statistical Methods
- Category: Classification Algorithms
- Category: Predictive Modeling
- Category: Logistic Regression
- Category: Machine Learning Algorithms
