You will get Interactive Customer Classification Web App with Predictive Insights
Project details
You will get a fully functional web app that classifies your customers using a Naive Bayes machine learning model. The app provides clear, interactive dashboards built with Streamlit, allowing you to segment customers into actionable categories (“Share” or “Not Share”). This project turns raw customer data into insights that guide strategic business decisions. I focus on delivering high-quality, user-friendly, and fully tested solutions that make complex data easy to understand. Whether for small datasets or larger business applications, this web app ensures predictive analytics is accessible and practical.
Machine Learning Tools
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$120
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 5 days |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Mayar
Data Analysis & Testing | Microsoft Power BI Data Visualization
Minya al Qamh, Egypt - 2:52 am local time
Strong foundation in Python and SQL for data analysis and processing.
Design interactive dashboards that tell compelling data stories.
Recent projects include:
HR Analytics Dashboard – visualizes key metrics to enhance data understanding.
Naive Bayes Prediction Web App – applies machine learning for customer classification in real-world applications.
Developed a graduation project: an AI-based system for plant disease detection, integrating image analysis with innovative solutions.
Experience as a programming instructor, bringing strong communication skills to enhance collaboration in data-driven projects.
Committed to turning complex data into clear and engaging visuals to support informed decision-making.
Steps for completing your project
After purchasing the project, send requirements so Mayar can start the project.
Delivery time starts when Mayar receives requirements from you.
Mayar works on your project following the steps below.
Revisions may occur after the delivery date.
Client provides data & requirements
Share customer data (Excel/CSV) and classification criteria
Data cleaning & preparation
Organize, clean, and preprocess data for analysis