Machine Learning with Python
Completed by Nibedita Chakraborty
April 13, 2024
20 hours (approximately)
Nibedita Chakraborty'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: Unsupervised Learning
- Category: Model Training
- Category: Supervised Learning
- Category: Python Programming
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Scikit Learn (Machine Learning Library)
- Category: Dimensionality Reduction
- Category: Machine Learning Methods
- Category: Model Evaluation
- Category: Model Optimization
