Machine Learning with Python
Completed by PERUMANDLA ROHITH
October 19, 2020
20 hours (approximately)
PERUMANDLA ROHITH'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: Predictive Modeling
- Category: Supervised Learning
- Category: Dimensionality Reduction
- Category: Regression Analysis
- Category: Classification Algorithms
- Category: Unsupervised Learning
- Category: Machine Learning
- Category: Model Evaluation
- Category: Decision Tree Learning
- Category: Python Programming
- Category: Applied Machine Learning
- Category: Feature Engineering
