Machine Learning with Python
Completed by Jiayin Lin
October 2, 2019
20 hours (approximately)
Jiayin Lin'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 Methods
- Category: Supervised Learning
- Category: Python Programming
- Category: Applied Machine Learning
- Category: Machine Learning Algorithms
- Category: Logistic Regression
- Category: Predictive Modeling
- Category: Scikit Learn (Machine Learning Library)
- Category: Unsupervised Learning
- Category: Regression Analysis
- Category: Dimensionality Reduction
- Category: Model Training
