- Dimensionality Reduction
- Feature Engineering
- Classification And Regression Tree (CART)
- Unsupervised Learning
- Machine Learning Algorithms
- Python Programming
- Machine Learning
- Predictive Modeling
- Regression Analysis
- Applied Machine Learning
- Supervised Learning
- Statistical Analysis
Machine Learning with Python
Completed by ANIKET BALODIA
April 2, 2022
20 hours (approximately)
ANIKET BALODIA'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
