devAmoghS/Machine-Learning-with-Python
A collection of small-scale Python projects teaching core machine learning concepts through hands-on implementations.
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This repository contains beginner-friendly machine learning projects implemented in Python using libraries like scikit-learn and Keras. Projects cover fundamental ML techniques including topic modeling with LDA, neural networks on MNIST, spam classification with Naive Bayes, clustering algorithms like K-means and hierarchical clustering, and regression methods. It serves as a practice resource for learning core ML concepts through working code examples.
Frequently asked
- What is devAmoghS/Machine-Learning-with-Python?
- A collection of small-scale Python projects teaching core machine learning concepts through hands-on implementations.
- Is Machine-Learning-with-Python open source?
- Yes — devAmoghS/Machine-Learning-with-Python is open source, released under the MIT license.
- What language is Machine-Learning-with-Python written in?
- devAmoghS/Machine-Learning-with-Python is primarily written in Python.
- How popular is Machine-Learning-with-Python?
- devAmoghS/Machine-Learning-with-Python has 1.3k stars on GitHub.
- Where can I find Machine-Learning-with-Python?
- devAmoghS/Machine-Learning-with-Python is on GitHub at https://github.com/devAmoghS/Machine-Learning-with-Python.