Machine Learning with Python
Completed by RUPASRI PAMULAPATI
January 23, 2024
20 hours (approximately)
RUPASRI PAMULAPATI'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: Python Programming
- Category: Model Evaluation
- Category: Predictive Analytics
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Machine Learning Algorithms
- Category: Unsupervised Learning
- Category: Model Optimization
- Category: Scikit Learn (Machine Learning Library)
- Category: Decision Tree Learning
- Category: Machine Learning
- Category: Classification Algorithms
