Machine Learning with Python
Completed by Ramzy Bakir
March 13, 2024
20 hours (approximately)
Ramzy Bakir'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: Applied Machine Learning
- Category: Decision Tree Learning
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Predictive Analytics
- Category: Scikit Learn (Machine Learning Library)
- Category: Model Optimization
- Category: Supervised Learning
- Category: Machine Learning
- Category: Statistical Machine Learning
- Category: Machine Learning Algorithms
