Machine Learning with Python
Completed by Yarram Jaipal Reddy
May 19, 2021
20 hours (approximately)
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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: Statistical Machine Learning
- Category: Python Programming
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Predictive Analytics
- Category: Model Optimization
- Category: Dimensionality Reduction
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Unsupervised Learning
- Category: Logistic Regression
- Category: Model Evaluation
