https://github.com/syzygianinfern0/ml-tutorial
Basics of ML to Help Beginners made in Jupyter Notebook
https://github.com/syzygianinfern0/ml-tutorial
jupyter-notebook machine-learning machine-learning-algorithms machine-learning-coursera scikit-learn
Last synced: 2 months ago
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Basics of ML to Help Beginners made in Jupyter Notebook
- Host: GitHub
- URL: https://github.com/syzygianinfern0/ml-tutorial
- Owner: Syzygianinfern0
- Created: 2019-04-13T23:32:43.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-04-19T15:37:58.000Z (about 7 years ago)
- Last Synced: 2025-07-29T06:26:04.756Z (11 months ago)
- Topics: jupyter-notebook, machine-learning, machine-learning-algorithms, machine-learning-coursera, scikit-learn
- Language: Jupyter Notebook
- Size: 342 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# ML-Tutorial
Basics of ML to Help Beginners made in Jupyter Notebook
## Welcome
Well, this is a tutorial series that will be covering all concepts discussed by Andrew NG in his course but in *Python* rather than the somewhat outdated and pretty-mcuh-no-one-uses-it-anyways-practically Octave/Matlab.
You can check out the lectures provided in the Course [at my Git](https://github.com/Syzygianinfern0/ML-Coursera-Lectures)
## Prerequisites
It's highly recommended that you achieve good comfort with python and learn numpy, matplotlib and pandas before starting.
Check out my tutorials for the same:
* [Numpy](https://github.com/Syzygianinfern0/Numpy-Tutorial)
* [Matplotlib](https://github.com/Syzygianinfern0/Matplotlib-Tutorial)
* [Pandas](https://github.com/Syzygianinfern0/Pandas-Tutorial)