Machine Learning with Python
Completed by Ming-Cheng Hsieh
May 15, 2019
20 hours (approximately)
Ming-Cheng Hsieh'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: Logistic Regression
- Category: Predictive Modeling
- Category: Machine Learning Algorithms
- Category: Statistical Methods
- Category: Supervised Learning
- Category: Machine Learning Methods
- Category: Scikit Learn (Machine Learning Library)
- Category: Regression Analysis
- Category: Python Programming
- Category: Classification Algorithms
- Category: Machine Learning
- Category: Model Evaluation
