- Scikit Learn (Machine Learning Library)
- Decision Tree Learning
- Predictive Modeling
- Model Evaluation
- Unsupervised Learning
- Machine Learning
- Logistic Regression
- Regression Analysis
- Dimensionality Reduction
- Python Programming
- Classification Algorithms
- Supervised Learning
Machine Learning with Python
Completed by Divyansh Chhabra
February 13, 2024
20 hours (approximately)
Divyansh Chhabra'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
