Project Reports

ML Report

Comprehensive machine learning project report covering data analysis, model development, and results.

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PDF 2025

Project Presentation

PowerPoint presentation summarizing the smartphone purchase prediction project.

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PPTX 2025

Plagiarism Report

Originality verification report ensuring the authenticity of the project work.

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PDF Verified

User Guides

README

Project overview, features, installation instructions, and quick start guide.

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Markdown Main

User Guide

Detailed instructions on how to use the dashboard and prediction tools.

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Markdown For Users

Contributing Guide

Guidelines for contributing to the project, code standards, and PR process.

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Markdown Developers

Project Overview

Complete project overview with all-in-one documentation reference.

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Markdown Complete

Jupyter Notebooks

Main Notebook

Primary Jupyter notebook with complete ML pipeline, data processing, and model training.

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Python ML Pipeline

Exploratory Analysis

Data exploration and visualization notebook with statistical analysis.

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Python EDA

Feature Influence Analysis

Analysis of feature importance and their influence on purchase predictions.

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Python Analysis

Deployment

Azure Deployment

Step-by-step guide for deploying the dashboard on Microsoft Azure App Service.

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Azure Deployment

API Documentation

REST API endpoints documentation for the prediction service.

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API REST

Requirements

Python dependencies and requirements for running the project.

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Python Dependencies

MIT License

Open source license granting permission to use, copy, modify, and distribute the software.

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Open Source MIT

Security Policy

Security guidelines, vulnerability reporting process, and supported versions.

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Security Reporting

Code of Conduct

Community guidelines ensuring a welcoming and inclusive environment.

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Community Guidelines

Privacy Policy

How we collect, use, and protect your data when using SmartPredict.

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Privacy Data