Machine Learning with Python
Completed by Chanaka Gunawardena
February 2, 2019
20 hours (approximately)
Chanaka Gunawardena'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: Scikit Learn (Machine Learning Library)
- Category: Python Programming
- Category: Classification Algorithms
- Category: Model Evaluation
- Category: Model Optimization
- Category: Machine Learning
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Dimensionality Reduction
- Category: Regression Analysis
- Category: Model Training
- Category: Machine Learning Methods
