https://github.com/rumaan/machine-learning-lab-vtu
Repository with programs for the Machine Learning Lab VTU - (15CSL76) 📚
https://github.com/rumaan/machine-learning-lab-vtu
jupyter lab machine-learning machine-learning-lab python3 sklearn vtu
Last synced: about 1 month ago
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Repository with programs for the Machine Learning Lab VTU - (15CSL76) 📚
- Host: GitHub
- URL: https://github.com/rumaan/machine-learning-lab-vtu
- Owner: rumaan
- Created: 2018-11-04T15:42:06.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-10-25T05:33:25.000Z (over 5 years ago)
- Last Synced: 2025-03-18T17:57:03.404Z (about 2 months ago)
- Topics: jupyter, lab, machine-learning, machine-learning-lab, python3, sklearn, vtu
- Language: Jupyter Notebook
- Homepage:
- Size: 321 KB
- Stars: 16
- Watchers: 2
- Forks: 19
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Machine Learning Lab VTU
Repo with programs for the Machine Learning Lab (15CSL76). All the programs are in `.ipnyb` Jupyter notebook format.
## Instructions
- If you open this repo on your phone, make sure to switch to a Desktop Version of the site to see the notebooks in your browser
- Firstly, Make sure you have [Git](https://git-scm.com) set up and running in your system.
- Download this repo or clone by typing
`git clone https://github.com/rumaan/machine-learning-lab-vtu.git`
- `cd machine-learning-lab-vtu` or move into that directory and run `jupyter notebook` which will open up a Jupyter Notbook instance in your browser.
- Select the notebook/program and start executing! 👨💻👩💻
## Dependencies and Modules used
- [Python](https://www.python.org)
- [Jupyter](http://jupyter.org)
- [Numpy](http://www.numpy.org)
- [Pandas](https://pandas.pydata.org)
- [Sklearn](http://scikit-learn.org/stable/)
- [Matplotlib](https://www.matplotlib.org)
- [SciPy](https://www.scipy.org)
- [Bayespy](http://www.bayespy.org)
- [pgmpy](https://github.com/pgmpy/pgmpy)
You can install these dependencies by doing `pip install dependecy_name` and also make sure to replace `pip` with `pip3` if you are using Python3 or above.
---
#### Be Advised, I am not the owner of the code posted here. This repo consists of programs/code combined/modified from various sources like Lab Manuals, Youtube etc. 😇
## Other Info
- [/py/trimmed/](https://github.com/rumaan/machine-learning-lab-vtu/tree/master/py/trimmed) directory contains all the programs in `.py` format
- Make sure to change the `datasets` path in those `.py` files as required!
- Check out the `convert_to_py.sh` script to know more about converting the `.ipnyb` files into `.py`
```sh
chmod 755 convert_to_py.sh
bash convert_to_py.sh
```
## Contributing to the Repo (if its your first time)
You can look [here](https://gitme.js.org) for some inspiration on how to submit a Pull Request (PR)
__*Basic Steps are*__ :
- Fork the repo
- Download/Clone the forked repo into your local machine
- Modify/Add Contents
- Push to your repo
- Submit PR from your fork
#### And you are good to go! 🎉