Machine Learning with Python
Completed by Frits Brouwn
April 5, 2020
20 hours (approximately)
Frits Brouwn'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: Unsupervised Learning
- Category: Model Evaluation
- Category: Model Optimization
- Category: Machine Learning
- Category: Machine Learning Algorithms
- Category: Logistic Regression
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Supervised Learning
- Category: Model Training
- Category: Regression Analysis
- Category: Scikit Learn (Machine Learning Library)
