Machine Learning with Python
Completed by hemanth venkata krishna kandula
October 4, 2020
20 hours (approximately)
hemanth venkata krishna kandula'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: Decision Tree Learning
- Category: Python Programming
- Category: Classification Algorithms
- Category: Statistical Machine Learning
- Category: Supervised Learning
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Regression Analysis
- Category: Predictive Analytics
