Machine Learning with Python
Completed by MANOJ REDDY TUDI
August 11, 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: Model Evaluation
- Category: Statistical Machine Learning
- Category: Supervised Learning
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Predictive Modeling
- Category: Logistic Regression
- Category: Machine Learning Methods
- Category: Regression Analysis
- Category: Python Programming
- Category: Unsupervised Learning
- Category: Dimensionality Reduction
