bamtak/machine-learning-implemetation-python
Basic Machine Learning implementation with python
This project helps Python developers understand how fundamental machine learning algorithms work by providing implementations of various models like Linear Regression and Naive Bayes from scratch. It takes raw data and outputs a working, transparent model. This is for developers who want to grasp the core mechanics of machine learning without relying on high-level libraries.
106 stars. No commits in the last 6 months.
Use this if you are a developer learning machine learning and want to see how algorithms are built from their basic mathematical components.
Not ideal if you are looking for ready-to-use, highly optimized machine learning tools for production environments or large datasets.
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106
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58
Language
Jupyter Notebook
License
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Last pushed
Jul 01, 2020
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