Use CrunchBase data from 2013, before it was relicensed to deny commercial use without payment.
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Updated
Aug 3, 2016 - Ruby
Use CrunchBase data from 2013, before it was relicensed to deny commercial use without payment.
Visual relationships between any two or more entities on crunchbase
Machine learning on Crunchbase data set
Merge and Acquisitions Prediction based on M&A information from Crunchbase.
Using the Crunchbase API to automate data collection
Predicting the likelihood of success for startups and their founders
Scraper to get data from crunchbase.com and read - write the data using SQLite database and JSON file.
Thesis in partial fulfillment of the MSc in Information Systems & E-business at Copenhagen Business School. The thesis received the grade 10, as well as praise from the supervising PhD (https://www.linkedin.com/in/nielsbuuslassen) and the co-examiner (https://www.linkedin.com/in/bodilreumert/; Director at Talent Garden Rainmaking, Copenhagen, DK).
I am assigned to a data collection task, to collect 2000 company information from [owler](www.owler.com) and [crunchbase](www.crunchbase.com) Collecting structured data by hand and feed them into an excel table is always boring and time consuming. So I tried to use web crawl method to solve it and save some time (50 hours work estimated).
Import live, refreshable data from Crunchbase into Microsoft Excel and Google Sheets.
a lean and sustainable conscientious cannabusiness; target market? Black market.
Pet project to denormalize and export information from Crunchbase 2013 Snapshot © 2013 (MySQL) into Elasticsearch.
The repository of Team 5 for the HKUST course TEMG4952A "Special Project: Financial Investment Prototyping for UBS Zurich".
Scrape results from a curated list of unicorn startups for educational purposes and output as JSON
✏️ Case Study on Lemonade, Inc.
Exploring the flow of capital from MSA to MSA via investments by exploiting data obtained from Crunchbase API
Analysis of information about startup companies done using machine learning and data analytics methods to predict the success of the startup companies.
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