https://github.com/carnivuth/datamining
notes on datamining course of professor Sartori
https://github.com/carnivuth/datamining
alma-mater-studiorum appunti bologna datamining magistrale note unibo
Last synced: 2 months ago
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notes on datamining course of professor Sartori
- Host: GitHub
- URL: https://github.com/carnivuth/datamining
- Owner: carnivuth
- Created: 2023-09-28T13:19:06.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-10-03T15:31:29.000Z (9 months ago)
- Last Synced: 2025-04-05T01:11:17.205Z (3 months ago)
- Topics: alma-mater-studiorum, appunti, bologna, datamining, magistrale, note, unibo
- Language: Jupyter Notebook
- Homepage: https://carnivuth.github.io/datamining/
- Size: 14.8 MB
- Stars: 5
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
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README
# DATAMINING
this are my personal notes on datamining course of professor Sartori Claudio
## HOW TO USE
- install [obsidian](https://obsidian.md/)
- [clone the repository](https://github.com/carnivuth/datamining.git)
- [add the repo as obsidian vault](https://help.obsidian.md/Files+and+folders/Manage+vaults#Create+vault+from+an+existing+folder)
it's possible to use the repo without obsidian but in order to get the best experience you need to install it
## REPOSITORY STRUCTURE
There is a folder for each macro-argument of the course inside the `pages` folder, each folder contains a brief recap of each argument
### MAPS
for each macro-argument there is a conceptual map in the root folder for a quick overview of the arguments structure
## HOW TO RUN THE CODES
the labs folder contains the exercises of the course and my personal exercises, it's meant to be use with a python virtual environment but you can use it with your system-wide pip installation
```bash
# enter inside labs directory
cd datamining/labs
# create virtual env
python -m venv env
# activate virtual env
source env/bin/activate
# install dependencies
pip install -r requirements.txt
```
## QUESTIONS
there are also some questions from the pasts exams [here](QUESTIONS_DATAMINING.md) and [here](QUESTIONS_MACHINE_LEARNING.md)
## CREDITS
- [carnivuth](https://github.com/carnivuth)
- [stef-a99](https://github.com/stef-a99)
- [kuri0317](https://github.com/kuri0317)
- [claudiacitera](https://github.com/claudiacitera)