Machine Learning with Python
Completed by Tamela Maciel
June 5, 2020
20 hours (approximately)
Tamela Maciel'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: Classification Algorithms
- Category: Supervised Learning
- Category: Regression Analysis
- Category: Applied Machine Learning
- Category: Predictive Modeling
- Category: Logistic Regression
- Category: Scikit Learn (Machine Learning Library)
- Category: Dimensionality Reduction
- Category: Unsupervised Learning
- Category: Statistical Machine Learning
- Category: Python Programming
- Category: Predictive Analytics
