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: Logistic Regression
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Python Programming
- Category: Predictive Modeling
- Category: Decision Tree Learning
- Category: Machine Learning
- Category: Dimensionality Reduction
- Category: Feature Engineering
- Category: Regression Analysis
- Category: Model Evaluation
