This repository contains several machine learning and AI-based projects, demonstrating various tools and techniques used in the field. Below are the assignments completed as part of my coursework.
- Implemented all code from Derek Banas' Python tutorial in Google Colab.
- Incorporated advanced features from the Colab tutorials into my slides and provided them in a Colab file.
- Code uploaded in this repository.
- Used GitHub Copilot as my AI pair programmer to develop the "Chat Application"
- Created a free Akkio account and developed a Customer Churn Prediction Machine Learning model.
- The project demonstrates an end-to-end ML process using Akkio, a zero-code AutoML platform.
- The Customer Churn Prediction model helps identify which customers are likely to continue doing business and which are not.
- Dataset used: Kaggle dataset with columns like customerID, gender, SeniorCitizen, Partner, and churn.
- Akkio automatically splits the dataset into training and testing sets, performs feature training, and selects the best algorithm.
- Model evaluation metrics: Accuracy, precision, recall.
- Akkio visualizes the data using graphs and charts and allows for API deployment.
- User-friendly interface
- Zero-code (UI-based)
- Data cleaning
- AutoML
- Model evaluation
- Predictions
- Deployment
- Visualization
Video demonstration of the project is available: Click Here .