Machine Learning with Python
Completed by Aitor Guzmán Cantón
November 27, 2019
20 hours (approximately)
Aitor Guzmán Cantón'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: Supervised Learning
- Category: Regression Analysis
- Category: Machine Learning
- Category: Model Training
- Category: Model Evaluation
- Category: Logistic Regression
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Predictive Analytics
- Category: Machine Learning Algorithms
- Category: Statistical Machine Learning
- Category: Model Optimization
