Machine Learning with Python
Completed by HARDIK CHAURASIA
August 8, 2020
20 hours (approximately)
HARDIK CHAURASIA'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
- Category: Unsupervised Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Predictive Analytics
- Category: Machine Learning
- Category: Python Programming
- Category: Applied Machine Learning
- Category: Dimensionality Reduction
- Category: Classification Algorithms
- Category: Machine Learning Algorithms
- Category: Model Optimization
- Category: Logistic Regression
- Category: Model Evaluation
