Andrzej Wodecki
May 25th, 2019
The goal of this project is to identify the most interesting patterns in an Artificial Intelligence market basing on the actual data from index.co: one of the largest databases with information on companies in different markets and locations.
Thanks to a courtesy of index.co (a daughter company of The Next Web) team, I analyzed a dataset with +3 000 records of companies describing themselves with "Artificial Intelligence" TAG. This dataset included information on eg. markets, number of employees, country, headquarters, total investments, latest investment round type and amount.
The dataset allows to answer many interesting questions about the hottest technologies and markets, investment patterns and employment. Moreover, it open doors to more advanced machine learning modeling, eg. predicting the investments potential or the most promising location for heaquarters.
All the most important results are summarised in my article on medium.com avaliable here: http://bit.ly/2wlNtxq Happy reading :)
All the computations are stored in a jupyter notebook. If you don't have it installed, please follow the instructions provided here: https://jupyter.org/install .
Having jupyter notebook, you need only the followin non-standard libraries installed: numpy, pandas, wordcloud and folium.
All can be easily installed using pip install command. Eg. to install folium type:
pip install folium
Next, just open an AI_markets.ypnb and run the code cell by cell. Don't hesitate to adopt it to Your needs :)