Can we predict what is the field operation of a startup based on its description and meta-data ?
Sometimes startups can be vague in what they do and this derive most customers not to trust them or invest in their growth, do you think you can help with something like this ?
In this competition you are tasked to build a **multi-class classifier** to predict the industry a startup is working on based on its available data on the internet.
What should participants learn from this competition ?
1. `sklearn` and its wide variety of algorithms and functionalities.
2. `pandas` and how to preprocess data for better accuracy.
3. Data Visualization using `matplotlib` or any other package.
4. Working with small datasets and scrapping the internet for more information (`BeautifulSoup` or `scrapy`)
5. Using kaggle notebooks for sharing code and ideas with others