Workspace Documentation

ML Training System

Overview

The ML Training System is designed to facilitate the training of various machine learning models. It enables users to easily configure, train, and evaluate machine learning models using different datasets and algorithms.

Features

• Support for multiple algorithms (e.g., linear regression, decision trees, neural networks).
• Configurable data preprocessing steps.
• Visualization tools for model performance metrics.

Setup Instructions

1. Clone the repository:

   git clone https://github.com/OnkarBhattacharya/scratch.git

2. Install the required dependencies:

   pip install -r requirements.txt

3. Start the training process by running:

   python train_model.py --config config.yaml

Chat Application

Overview

The Chat Application allows users to communicate in real-time with a clean and intuitive interface. It supports one-on-one chats as well as group conversations.

Features

• Real-time messaging.
• User authentication and authorization.
• Message history and storage.

Setup Instructions

1. Clone the repository:

   git clone https://github.com/OnkarBhattacharya/scratch.git

2. Install the required dependencies:

   npm install

3. Start the application:

   npm start

Conclusion

This workspace contains two major projects: the ML Training System and the Chat Application. Each project is self-contained and can be set up individually as outlined in their respective sections.