TinyMLnotes

This repository contains my notes, code, and projects related to statistics, machine learning (ML), and TinyML.

Contents

• Notes: Cheatsheets and notes covering various topics in statistics, ML, and TinyML.
• TinyML Labs: Lab exercises and code from MIT's TinyML course (Prof. Song Han) (6.5940 Fall-24).
• Android App: An ongoing project to develop an Android application that uses a linear regression model to predict real estate prices based on user-provided zip code and square footage.

TinyML Labs

This section includes the following labs from the MIT TinyML course:

• Lab 1: Introduction to TinyML and microcontrollers.
• Lab 2: Data collection and preprocessing for TinyML applications.
• Lab 3: Training and deploying a simple TinyML model.

Android App

This project aims to build an Android app that allows users to:

• Input a zip code and square footage.
• Get a predicted real estate price based on a linear regression model.

Current Status: Building basic template for app. tflite for dummy model is done.

Future Plans: Use a full fledged model. Maybe consider LLM.

Getting Started

1. Clone the repository: git clone https://github.com/your-username/your-repo-name.git
2. Explore the folders:
   • LectureNotes: Contains notes in PNG and Excel format.
   • labs: Contains code and resources for the TinyML labs.
   • prj_AndroidAI: Contains various projects, each with its own README file.

Resources

• MIT TinyML Course

Contributing

Feel free to add a PR/issue for anything here.

License

todo