https://github.com/mkashirin/datasets

Here're some datasets for machine learning experiments, including such classics as MNIST and Boston Housing.
https://github.com/mkashirin/datasets

artificial-intelligence data-science datasets deep-learning machine-learning

Last synced: about 1 year ago
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Here're some datasets for machine learning experiments, including such classics as MNIST and Boston Housing.

• Host: GitHub
• URL: https://github.com/mkashirin/datasets
• Owner: mkashirin
• Created: 2023-06-12T16:30:47.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-03-02T16:25:14.000Z (over 2 years ago)
• Last Synced: 2025-02-16T11:15:27.709Z (over 1 year ago)
• Topics: artificial-intelligence, data-science, datasets, deep-learning, machine-learning
• Language: Python
• Homepage:
• Size: 37.2 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# datasets

Here're some datasets for machine learning experiments, including such classics as MNIST and Boston Housing.

## Usage 

Just use Git CLI to clone this repo to your working directory by running the line below:

```

git clone https://github.com/mkashirin/datasets

```

You now need to unpack all the files (they are in the `.zip` format). This can be done, using Python, by executing the following line:

```

python extractor.py

```

Now all the `.csv` files are in the csv directory.

And that is it! You're now dealing with regular `.csv` files.