tirthajyoti/Machine-Learning-with-Python
A set of practice and tutorial-style Jupyter notebooks covering machine learning techniques using scikit-learn, TensorFlow, and Keras.
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This repository contains Jupyter notebooks demonstrating a wide variety of machine learning techniques including classification, regression, clustering, decision trees, neural networks, and dimensionality reduction. It uses popular Python libraries such as scikit-learn, TensorFlow, and Keras as teaching tools, and also touches on data visualization with matplotlib and seaborn.
Frequently asked
- What is tirthajyoti/Machine-Learning-with-Python?
- A set of practice and tutorial-style Jupyter notebooks covering machine learning techniques using scikit-learn, TensorFlow, and Keras.
- Is Machine-Learning-with-Python open source?
- Yes — tirthajyoti/Machine-Learning-with-Python is open source, released under the BSD-2-Clause license.
- What language is Machine-Learning-with-Python written in?
- tirthajyoti/Machine-Learning-with-Python is primarily written in Jupyter Notebook.
- How popular is Machine-Learning-with-Python?
- tirthajyoti/Machine-Learning-with-Python has 3.3k stars on GitHub.
- Where can I find Machine-Learning-with-Python?
- tirthajyoti/Machine-Learning-with-Python is on GitHub at https://github.com/tirthajyoti/Machine-Learning-with-Python.