https://github.com/pedro1guevara/data_science_course_finalproject
Analysis of startup success factors using Crunchbase data. Statistical and machine learning research on funding thresholds, industry sectors, and financing rounds. Final project for UABC's Data Science course.
https://github.com/pedro1guevara/data_science_course_finalproject
data-science jupyter-notebook python startup startups successfactors uabc
Last synced: 7 months ago
JSON representation
Analysis of startup success factors using Crunchbase data. Statistical and machine learning research on funding thresholds, industry sectors, and financing rounds. Final project for UABC's Data Science course.
- Host: GitHub
- URL: https://github.com/pedro1guevara/data_science_course_finalproject
- Owner: Pedro1Guevara
- License: mit
- Created: 2024-11-28T06:41:22.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-01-13T07:27:26.000Z (9 months ago)
- Last Synced: 2025-01-29T03:57:40.630Z (8 months ago)
- Topics: data-science, jupyter-notebook, python, startup, startups, successfactors, uabc
- Language: Jupyter Notebook
- Homepage:
- Size: 5.54 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Startup Success Analysis Project
This repository contains our final project for the Data Science course at UABC's Business Intelligence bachelor's degree program. The project analyzes startup survival patterns based on funding, industry sectors, and other key indicators using data from the "Big Startup Success/Fail Dataset from Crunchbase" available on Kaggle.
Using statistical analysis and machine learning techniques, we investigated:
- The relationship between funding thresholds and startup survival
- Industry sector impact on success rates
- The influence of funding rounds on company longevity
Project includes data preprocessing, exploratory analysis, statistical inference, and machine learning models (logistic regression and K-means clustering) implemented in Python.
## Data Source
The dataset used in this project is available at: https://www.kaggle.com/datasets/yanmaksi/big-startup-secsees-fail-dataset-from-crunchbase
## Authors
- Pedro David Guevara Rodríguez
- Brandon Alan López Ruiz
- David Godina Ramos
My co-authors are welcome to use this repository to showcase their work to others. Feel free to fork, share, or reference this project as needed.
## Acknowledgments
Special thanks to Dr. Karina Caro for her supervision and guidance throughout this course. Her teaching and mentorship were instrumental in the successful completion of this data science project.
Feel free to use this repository to explore our analysis and findings. The full draft paper (in Spanish) is included in this repository.