What's included

• ML model, ML application

  1. Customer Churn Prediction Model Developed a machine learning model that analyzes customer behavior and transaction history to predict which customers are likely to leave a subscription service 2. Real Estate Price Prediction Created a predictive model that uses historical property data, neighborhood features, and market trends to estimate real estate prices. 3. Credit Scoring System Designed a machine learning model that evaluates loan applicants by analyzing credit history and income data. 4. Diabetes Diagnosis Assistant Developed a decision tree model that analyzes patient symptoms and lab results to assist doctors in diagnosing diabetes. 5. Sentiment Analysis for Brand Monitoring Created a natural language processing model that analyzes Twitter feeds and product reviews to assess public sentiment about a new smartphone launch. 6. Personalized Recommendation Engine Developed a collaborative filtering model for an online bookstore that recommends books based on user purchase history and preferences. 7. Stock Market Prediction Model Developed a recurrent neural network (RNN) to analyze stock price movements and trading volumes.

• Exploratory Data Analysis (EDA) Report

  Visualizations and statistical summaries to understand data distributions and relationships. Insights derived from the data that inform modeling decisions.

• User Guide/Documentation

  Instructions for end-users on how to utilize the model and interpret its outputs. Technical documentation for developers on the model architecture and integration.