Machine Learning with Python
Completed by Diana Riaño Reyes
April 25, 2022
20 hours (approximately)
Diana Riaño Reyes'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: Supervised Learning
- Category: Machine Learning Methods
- Category: Unsupervised Learning
- Category: Statistical Methods
- Category: Logistic Regression
- Category: Predictive Modeling
- Category: Regression Analysis
- Category: Scikit Learn (Machine Learning Library)
- Category: Applied Machine Learning
- Category: Machine Learning Algorithms
- Category: Dimensionality Reduction
