https://github.com/mladen/ds-ml-and-ai-experiments
:1234: My Data Science, Machine learning and Artificial Intelligence experiments and projects
https://github.com/mladen/ds-ml-and-ai-experiments
data data-mining data-science datascience dataset
Last synced: 18 days ago
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:1234: My Data Science, Machine learning and Artificial Intelligence experiments and projects
- Host: GitHub
- URL: https://github.com/mladen/ds-ml-and-ai-experiments
- Owner: mladen
- Created: 2024-06-06T21:27:32.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-06T21:32:51.000Z (about 2 years ago)
- Last Synced: 2025-03-01T10:26:52.080Z (over 1 year ago)
- Topics: data, data-mining, data-science, datascience, dataset
- Language: Jupyter Notebook
- Homepage:
- Size: 26.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# My Data Science, Machine learning and Artificial Intelligence Projects
The following steps are a guide to start a data science project:
1. Import the data
2. Clean the data
3. Split the data. Training Set/Test Set
4. Create a Model
5. Check the output
6. Improve
## Setting up the environment
Setting up the virtual environment is a good practice to avoid conflicts between libraries. To create a virtual environment, run the following command:
```bash
python3 -m venv venv
```
To activate the virtual environment, run the following command:
```bash
source venv/bin/activate
```
To install the required libraries, run the following command:
```bash
pip install -r requirements.txt
```
To deactivate the virtual environment, run the following command:
```bash
deactivate
```