Machine Learning with Python
Completed by TARAF FAHAD SAWYD AL SAKHABRAH TARAF FAHAD SAWYD AL SAKHABRAH
May 14, 2024
20 hours (approximately)
TARAF FAHAD SAWYD AL SAKHABRAH TARAF FAHAD SAWYD AL SAKHABRAH'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: Machine Learning Algorithms
- Category: Logistic Regression
- Category: Supervised Learning
- Category: Unsupervised Learning
- Category: Model Evaluation
- Category: Model Optimization
- Category: Machine Learning
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Python Programming
- Category: Classification Algorithms
- Category: Regression Analysis
