- Dimensionality Reduction
- Decision Tree Learning
- Regression Analysis
- Classification Algorithms
- Logistic Regression
- Scikit Learn (Machine Learning Library)
- Unsupervised Learning
- Feature Engineering
- Machine Learning
- Model Evaluation
- Python Programming
- Applied Machine Learning
Machine Learning with Python
Completed by Shoaib Hussain
April 14, 2020
20 hours (approximately)
Shoaib Hussain'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
