MachineLearningWithPython
pythoncode-tutorials
| MachineLearningWithPython | pythoncode-tutorials | |
|---|---|---|
| 1 | 1 | |
| 144 | 2,978 | |
| - | 0.1% | |
| 0.0 | 6.1 | |
| about 4 years ago | about 1 month ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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MachineLearningWithPython
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Machine Learning with Python | FULL course | 15 lessons with 15 projects | Material available (see in comments) | First lesson: k-Nearest Classifier | Apply model on real data: weather data
GitHub for material: https://github.com/LearnPythonWithRune/MachineLearningWithPython
pythoncode-tutorials
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Keylogger With Python
Seems like you just stole and live-wrote https://github.com/x4nth055/pythoncode-tutorials/tree/master/ethical-hacking/keylogger to me.
What are some alternatives?
Tic-Tac-Toe-Gym - This is the Tic-Tac-Toe game made with Python using the PyGame library and the Gym library to implement the AI with Reinforcement Learning
violent-python3 - Source code for the book "Violent Python" by TJ O'Connor. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate dependency issues involving the implementation of deprecated libraries.
Soevnn - A neural net with a terminal-based testing program.
konfuzio-sdk - Run OCR, extract information from documents and classify them. In addition, annotate documents and build custom NLP and computer vision models tailored for your specific use cases. Find examples with code in our Tutorials section of dev.konfuzio.com and get inspiration from Use Cases section of our blog: https://konfuzio.com/en/category/marketplace [GET https://api.github.com/repos/konfuzio-ai/konfuzio-sdk: 404 - Not Found // See: https://docs.github.com/rest/repos/repos#get-a-repository]
ML-Algorithms - A collection of machine learning algorithms in Python, including supervised, unsupervised, reinforcement learning, and deep learning, with Jupyter notebooks.
PyCBC-Tutorials - Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.