https://github.com/csfelix/sales-prediction
🌱 Predicting Number of Sales per Product 🌱
https://github.com/csfelix/sales-prediction
data-science datascience gnu lstm matplotlib numpy pandas python random-forest-regressor scikit-learn seaborn sklearn xgboost
Last synced: 3 months ago
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🌱 Predicting Number of Sales per Product 🌱
- Host: GitHub
- URL: https://github.com/csfelix/sales-prediction
- Owner: CSFelix
- License: gpl-3.0
- Created: 2022-11-07T19:55:40.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-11-17T00:06:11.000Z (almost 3 years ago)
- Last Synced: 2025-04-28T12:52:45.644Z (5 months ago)
- Topics: data-science, datascience, gnu, lstm, matplotlib, numpy, pandas, python, random-forest-regressor, scikit-learn, seaborn, sklearn, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 31.3 KB
- Stars: 8
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
🌟 Sales Prediction 🌟
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### `❓ Description ❓`
**Given a couple of features, try to predict the Products' Number of Sales!!**
**Dataset: [US Stores Sales](https://www.kaggle.com/datasets/dsfelix/us-stores-sales)**
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### `⚒️ Tools ⚒️`
* Python version 3.9 or above;
* Anaconda and Python DataScience Stack (pandas, numpy and matplotlib in particular);
* Jupyter Notebook
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### `📫 Reach Me 📫`
> **Email:** **[csfelix08@gmail.com](mailto:csfelix08@gmail.com?)**
> **Linkedin:** **[csfelix](https://www.linkedin.com/in/csfelix/)**
> **Instagram:** **[csfelix08](https://www.instagram.com/csfelix08/)**
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> **Portfolio:** **[CSFelix.io](https://csfelix.github.io/)**
> **Kaggle:** **[DSFelix](https://www.kaggle.com/dsfelix)**