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https://github.com/salihfurkaan/world-happiness-report
An analysis on the world happiness report.
https://github.com/salihfurkaan/world-happiness-report
data-science machine-learning-algorithms world-happiness-report
Last synced: about 23 hours ago
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An analysis on the world happiness report.
- Host: GitHub
- URL: https://github.com/salihfurkaan/world-happiness-report
- Owner: salihfurkaan
- License: apache-2.0
- Created: 2023-09-23T12:34:02.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-10-04T18:32:07.000Z (about 1 year ago)
- Last Synced: 2024-01-26T09:19:09.042Z (10 months ago)
- Topics: data-science, machine-learning-algorithms, world-happiness-report
- Language: Jupyter Notebook
- Homepage:
- Size: 1.88 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# World Happiness Report
---
An analysis on the world happiness report in 2015 and 2016.
Click here to see the dataset!
**Used Technologies**
- Python (Seaborn, Matplotlib, Pandas, Scikit-learn)
**Applied Machine Learning Algorithms:**
- Linear Regression
- K-Nearest-Neighbors
- Gradient Boosting Regressor
In this project, it is aimed to see what affects the happiness of a country and how it changes.