Machine Learning with Python
Completed by Seyed Aryan Emaminejad
January 14, 2024
20 hours (approximately)
Seyed Aryan Emaminejad'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: Unsupervised Learning
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
- Category: Model Training
- Category: Statistical Machine Learning
- Category: Supervised Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Dimensionality Reduction
- Category: Regression Analysis
- Category: Machine Learning Methods
- Category: Predictive Modeling
- Category: Model Optimization
