Machine Learning with Python
Completed by RUTVI HARSHADKUMAR SHAH
March 29, 2024
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: Machine Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Decision Tree Learning
- Category: Unsupervised Learning
- Category: Python Programming
- Category: Feature Engineering
- Category: Supervised Learning
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Logistic Regression
- Category: Applied Machine Learning
- Category: Dimensionality Reduction
