Simple dataset collected from web scraping aims to provide an experimentation area for building startup industry classifier.
Information provided in this dataset aims to be more general than participants think, there is urls provided in some columns that can point participant to more information through scrapping and other methods … keep your mind open for possible routes and solutions
File descriptions
- `train.csv` has all the data you will need for training and validation
- `test.csv` what you need to predict
- `sample.csv` a sample of how the submitted file should look like
Data fields
1. `name`: startup name
2. `description`: startup self description 
3. `image`: url for the startup logo image
4. `location`: startup headquarter location
5. `stage`: startup current state (e.g. Idea, Generating Revenues and Scaling, etc.)
6. `industry`: field of operation (target attribute that needs to be predicted in the test dataset)
7. `subindustry`: more specific field of operation
8. `website`: startup website