Machine Learning with Python
Completed by Jingzhuo Liu
November 20, 2024
20 hours (approximately)
Jingzhuo Liu'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: Scikit Learn (Machine Learning Library)
- Category: Classification Algorithms
- Category: Regression Analysis
- Category: Dimensionality Reduction
- Category: Applied Machine Learning
- Category: Machine Learning Algorithms
- Category: Logistic Regression
- Category: Supervised Learning
- Category: Model Training
- Category: Unsupervised Learning
- Category: Statistical Methods
- Category: Python Programming
