Add Amazon Sales Prediction Model To Medium Machine learning and Data Science

[Salma-Mamdoh]

Is your feature request related to a problem? Please describe.

Amazon, as a leading e-commerce platform, handles an enormous volume of sales data across a wide range of product categories. Extracting valuable insights from this data is crucial for optimizing sales performance, improving inventory management, and enhancing customer satisfaction. The challenge lies in analyzing this vast dataset to uncover trends, forecast future sales, and present the findings in a comprehensible and actionable manner.

Key Issues: Complexity of Data: The dataset encompasses numerous variables, including product categories, sales volumes, prices, dates, and customer reviews. Analyzing such complex data requires sophisticated techniques to ensure accuracy and relevance.

Sales Volatility: Sales figures can be highly volatile due to factors such as seasonality, market trends, promotions, and external economic conditions. Understanding and predicting these fluctuations is essential for effective business planning.

Data Presentation: The insights derived from the data need to be presented in an accessible and interactive format. This is crucial for stakeholders to make informed decisions based on the analysis.

Objective: The main objective is to analyze Amazon's sales data to gain meaningful insights, develop predictive models for accurate sales forecasting, and create interactive dashboards that facilitate data-driven decision-making. By addressing the key issues, the project aims to improve sales performance, optimize inventory levels, and enhance overall customer satisfaction.

Describe the solution you'd like.

This comprehensive project involved a series of methodical steps to analyze Amazon's sales data, build predictive models, and create an interactive dashboard. Starting with exploratory data analysis and data processing, the project proceeded through detailed data analysis and visualization, predictive modeling, and rigorous model evaluation. The culmination of this effort was the development of an interactive dashboard, providing stakeholders with powerful tools for understanding sales trends, forecasting future sales, and making data-driven decisions.

Describe alternatives you've considered.

The project considered a range of alternative solutions and features at various stages, including data cleaning, predictive modeling, visualization, evaluation, data sources, and feature engineering. Each alternative had its own set of advantages and trade-offs, which were carefully weighed to ensure the chosen approach was well-suited to the project's objectives and constraints.

Add any other context or screenshots about the feature request here.

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@Salma-Mamdoh

It's great having you contribute to this project

Thanks for opening this Issue 🙌 , Welcome to Project Guidance 💖 We will review everything and get back to you.
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[Salma-Mamdoh]

@Kushal997-das plz assign me to this issue and give appropriate labels

[Kushal997-das]

@Salma-Mamdoh I'm assigning this to you, but please ensure that this project doesn't already exist in the repository.