Machine Learning with Python
Completed by Neha Gianchandani
March 3, 2020
20 hours (approximately)
Neha Gianchandani'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: Scikit Learn (Machine Learning Library)
- Category: Model Training
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Python Programming
- Category: Model Evaluation
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Regression Analysis
- Category: Classification Algorithms
