Welcome to Audiophile-Insights, a comprehensive project for analyzing and predicting global headphone sales using machine learning techniques. This repository contains all the code, data, and documentation related to this project.
The objective of Audiophile-Insights is to provide valuable insights into the global headphone market and to predict sales trends. This project leverages machine learning and data analysis techniques to achieve this goal.
- Python (>=3.7)
- Jupyter Notebook (for interactive data analysis)
- Dependencies
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Clone this repository:
git clone https://github.com/your-username/Audiophile-Insights.git cd Audiophile-Insights -
Install the required dependencies:
pip install -r requirements.txt
- Detailed Usage Instructions (if necessary)
- Data Sources - Information about the data used in this project.
- Data Preprocessing - Jupyter Notebook for data cleaning and preprocessing.
- Exploratory Data Analysis (EDA) - Jupyter Notebook for exploring the dataset.
- Time Series Forecasting - Jupyter Notebook for sales predictions.
- Summary of Findings - Key insights and findings from the analysis.
- Interactive Dashboard - Link to an interactive dashboard (if available).
We welcome contributions from the community. To contribute, please follow our Contribution Guidelines.
This project is licensed under the MIT License. Feel free to use, modify, and distribute the code and content within the terms of this license.
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