https://github.com/blakley/sales-prediction
Predicting monthly sales using Machine Learning, kneighborsregressor
https://github.com/blakley/sales-prediction
juypter-notebook kneighborsregressor machine-learning prediction-model python3 salesforcasting
Last synced: 7 months ago
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Predicting monthly sales using Machine Learning, kneighborsregressor
- Host: GitHub
- URL: https://github.com/blakley/sales-prediction
- Owner: Blakley
- Created: 2024-04-25T23:57:14.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-29T05:20:35.000Z (over 1 year ago)
- Last Synced: 2025-02-01T04:27:31.904Z (8 months ago)
- Topics: juypter-notebook, kneighborsregressor, machine-learning, prediction-model, python3, salesforcasting
- Language: Jupyter Notebook
- Homepage:
- Size: 2.67 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Monthly Sales Forecasting
- Goal : The goal of this project was to build a regression model to predict monthly sales from a superstore.
- We use [Nearest Neighbors Regression](https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html) to make the predictions.
- To evaluate the performance of the model, we use the evaluation: metric [R-squared score](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html).