- Classification Algorithms
- Decision Tree Learning
- Scikit Learn (Machine Learning Library)
- Unsupervised Learning
- Regression Analysis
- Python Programming
- Supervised Learning
- Predictive Modeling
- Machine Learning
- Model Evaluation
- Applied Machine Learning
- Dimensionality Reduction
Machine Learning with Python
Completed by Jayesh Mirchandani
June 28, 2024
20 hours (approximately)
Jayesh Mirchandani'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
