suvoooo/Machine_Learning
Some fundamental machine learning and data-analysis techniques are explained through realistic examples.
This project offers practical, real-world examples and explanations of fundamental machine learning and data analysis techniques. It takes various datasets, such as consumer complaints, bank marketing data, or wine quality measurements, and demonstrates how to process, analyze, and build predictive models from them. It is designed for data scientists, analysts, or anyone looking to understand and apply core ML concepts to business or research problems.
124 stars. No commits in the last 6 months.
Use this if you are a data professional or student seeking concrete examples and step-by-step guidance on applying various machine learning algorithms to different types of data.
Not ideal if you are a non-technical user looking for a ready-to-use application or a fully automated solution without needing to understand the underlying code.
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124
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197
Language
Jupyter Notebook
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Last pushed
Sep 18, 2024
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