- Logistic Regression
- Classification Algorithms
- Scikit Learn (Machine Learning Library)
- Supervised Learning
- Machine Learning
- Feature Engineering
- Unsupervised Learning
- Python Programming
- Predictive Modeling
- Model Evaluation
- Regression Analysis
- Decision Tree Learning
Machine Learning with Python
Completed by Sunil Athawale
January 30, 2024
20 hours (approximately)
Sunil Athawale'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
