- Python Programming
- Logistic Regression
- Predictive Modeling
- Machine Learning
- Decision Tree Learning
- Applied Machine Learning
- Feature Engineering
- Scikit Learn (Machine Learning Library)
- Regression Analysis
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
Machine Learning with Python
Completed by Patel Yash Vijaykumar
June 2, 2020
20 hours (approximately)
Patel Yash Vijaykumar'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
