Machine Learning with Python
Completed by Aman Kumar
September 7, 2022
20 hours (approximately)
Aman Kumar'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: Decision Tree Learning
- Category: Machine Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Python Programming
- Category: Logistic Regression
- Category: Regression Analysis
- Category: Supervised Learning
- Category: Dimensionality Reduction
- Category: Classification Algorithms
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Feature Engineering
