Machine Learning with Python
Completed by ELEENA LALY THOMAS K
January 15, 2020
20 hours (approximately)
ELEENA LALY THOMAS K'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: Dimensionality Reduction
- Category: Machine Learning
- Category: Model Evaluation
- Category: Model Optimization
- Category: Statistical Methods
- Category: Logistic Regression
- Category: Machine Learning Algorithms
- Category: Scikit Learn (Machine Learning Library)
- Category: Regression Analysis
- Category: Unsupervised Learning
- Category: Supervised Learning
- Category: Model Training
