Machine Learning with Python
Completed by Sarah E Smith
June 3, 2019
20 hours (approximately)
Sarah E Smith'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: Decision Tree Learning
- Category: Regression Analysis
- Category: Model Optimization
- Category: Python Programming
- Category: Model Evaluation
- Category: Machine Learning Algorithms
- Category: Classification Algorithms
- Category: Scikit Learn (Machine Learning Library)
- Category: Predictive Modeling
- Category: Logistic Regression
- Category: Unsupervised Learning
- Category: Supervised Learning
