Machine Learning with Python
Completed by NEHA OMPRAKASH KOLINDEWALA
October 15, 2019
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: Supervised Learning
- Category: Model Training
- Category: Unsupervised Learning
- Category: Regression Analysis
- Category: Scikit Learn (Machine Learning Library)
- Category: Applied Machine Learning
- Category: Machine Learning Algorithms
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Model Optimization
- Category: Logistic Regression
