https://github.com/ditikrushna/predict-sales-revenue-using-multiple-regression-model
In this project you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper.
https://github.com/ditikrushna/predict-sales-revenue-using-multiple-regression-model
data-science multiple-regression multiple-regression-analysis regression-models seaborn
Last synced: over 1 year ago
JSON representation
In this project you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper.
- Host: GitHub
- URL: https://github.com/ditikrushna/predict-sales-revenue-using-multiple-regression-model
- Owner: ditikrushna
- Created: 2019-10-26T06:00:08.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-06-09T04:54:01.000Z (about 6 years ago)
- Last Synced: 2023-03-05T07:57:23.948Z (over 3 years ago)
- Topics: data-science, multiple-regression, multiple-regression-analysis, regression-models, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 1010 KB
- Stars: 14
- Watchers: 1
- Forks: 23
- Open Issues: 0