Machine Learning with Python
Completed by Daniela Guadalupe Risco Benites
October 7, 2020
20 hours (approximately)
Daniela Guadalupe Risco Benites'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: Python Programming
- Category: Unsupervised Learning
- Category: Supervised Learning
- Category: Logistic Regression
- Category: Statistical Machine Learning
- Category: Regression Analysis
- Category: Machine Learning Algorithms
- Category: Scikit Learn (Machine Learning Library)
- Category: Model Training
- Category: Predictive Analytics
- Category: Machine Learning
