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https://github.com/waseemofficial/ml-practice
ML Practice
https://github.com/waseemofficial/ml-practice
data data-analysis jupyter-notebook machine-learning ml python
Last synced: 14 days ago
JSON representation
ML Practice
- Host: GitHub
- URL: https://github.com/waseemofficial/ml-practice
- Owner: waseemofficial
- Created: 2024-07-15T12:20:12.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-07-19T17:45:07.000Z (7 months ago)
- Last Synced: 2024-12-13T03:14:40.695Z (2 months ago)
- Topics: data, data-analysis, jupyter-notebook, machine-learning, ml, python
- Language: Jupyter Notebook
- Homepage:
- Size: 15.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
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---
### Languages

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


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### Technologies

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
---
# ML Practice
Helper Note
`pip install ucimlrepo`
```py
from ucimlrepo import fetch_ucirepo
# fetch dataset
seoul_bike_sharing_demand = fetch_ucirepo(id=560)
# data (as pandas dataframes)
X = seoul_bike_sharing_demand.data.features
y = seoul_bike_sharing_demand.data.targets
# metadata
print(seoul_bike_sharing_demand.metadata)
# variable information
print(seoul_bike_sharing_demand.variables)```
### Resources
`https://archive.ics.uci.edu/datasets` dataset's