Machine Learning with Python
Completed by Kopal Khare
December 18, 2024
20 hours (approximately)
Kopal Khare'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: Machine Learning Methods
- Category: Model Training
- Category: Supervised Learning
- Category: Unsupervised Learning
- Category: Predictive Modeling
- Category: Machine Learning Algorithms
- Category: Logistic Regression
- Category: Machine Learning
- Category: Model Optimization
- Category: Statistical Methods
- Category: Python Programming
- Category: Classification Algorithms
