Machine Learning with Python
Completed by Alex Andrés Palencia Aragonéz
September 30, 2019
20 hours (approximately)
Alex Andrés Palencia Aragonéz'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: Statistical Methods
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Model Optimization
- Category: Classification Algorithms
- Category: Unsupervised Learning
- Category: Machine Learning
- Category: Python Programming
- Category: Applied Machine Learning
- Category: Model Training
- Category: Machine Learning Algorithms
- Category: Logistic Regression
