Machine Learning with Python
Completed by Qiaoying Zhang
July 11, 2024
20 hours (approximately)
Qiaoying Zhang'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 Evaluation
- Category: Model Optimization
- Category: Scikit Learn (Machine Learning Library)
- Category: Regression Analysis
- Category: Predictive Modeling
- Category: Machine Learning Methods
- Category: Dimensionality Reduction
- Category: Logistic Regression
- Category: Unsupervised Learning
- Category: Decision Tree Learning
- Category: Machine Learning Algorithms
- Category: Statistical Machine Learning
