Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/abideen-olawuwo/vg_sales
Predicting Games Sales
https://github.com/abideen-olawuwo/vg_sales
machine-learning matplotlib numpy pandas seaborn sklearn
Last synced: about 1 month ago
JSON representation
Predicting Games Sales
- Host: GitHub
- URL: https://github.com/abideen-olawuwo/vg_sales
- Owner: abideen-olawuwo
- Created: 2023-02-17T03:39:04.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-05-29T14:28:37.000Z (over 1 year ago)
- Last Synced: 2024-11-15T00:33:12.646Z (3 months ago)
- Topics: machine-learning, matplotlib, numpy, pandas, seaborn, sklearn
- Language: Jupyter Notebook
- Homepage:
- Size: 22.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
* Problem Definition
Predicting Global Game Sales
* Data
The data was downloaded from Kaggle(https://www.kaggle.com/datasets/gregorut/videogamesales)
* The Evaluation Metrics is the Root Mean Square Error
* Features
Name, Platform, Year, Genre, Publisher, NA_Sales, JP_Sales, Other_Sales, Global_Sales
* Modelling
The Model used for prediction is Logistic Regression