AIAnytime/Machine-Learning-Models-Implementation
Implementation of several ML models on real-world datasets with detailed explanation in notebooks.
This project offers clear, practical examples of how various machine learning models are applied to actual datasets. It takes raw data and demonstrates step-by-step how to process it, build a model, and interpret the results. Anyone looking to understand or apply machine learning to their data without diving deep into theoretical concepts would find this useful.
No commits in the last 6 months.
Use this if you want to see machine learning models in action on real-world scenarios and understand the practical steps involved.
Not ideal if you are looking for a plug-and-play solution for your specific problem or advanced theoretical explanations of algorithms.
Stars
17
Forks
14
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 05, 2022
Commits (30d)
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