Machine Learning with Python
Completed by Andrés Camilo Galvis
April 28, 2020
20 hours (approximately)
Andrés Camilo Galvis'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 Machine Learning
- Category: Python Programming
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Predictive Analytics
- Category: Model Optimization
- Category: Dimensionality Reduction
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Unsupervised Learning
- Category: Logistic Regression
- Category: Model Evaluation
