Quantitative analysis of fundamentals in quarterly reports by Machine Learning

Open-source quant finance foundation unites trading tools and protocols, funds community projects, and boosts cross-project interoperability for collaboration 🐙

Auto Github ECR push, CML to trigger EC2 spot, DVC Repro S3 storage using github actions, Deploy using Gradio to hugging face spaces - The School of AI EMLO-V4 course assignment https://theschoolof.ai/#programs

This project uses deep learning models to recognize landmarks and monuments, leveraging MobileNetV2 for landmark predictions and a custom CNN for monument classification. It provides functionalities for data visualization, training, and prediction, making it a comprehensive solution for image-based recognition tasks.

A project showcasing the various steps involved in carrying out a basic linear regression task for prediction of a target variable.

In this project i will show you how you can find circles in a image plus recognize digits using knn and finally arrange the recognized digits in ascending order and click on those circles in sequencially

Statistical Analysis, Discriminatory power using t-test, Train/Test set, Prediction by Voting mechanism for global accuracies.

📊 Explore the fundamentals of machine learning through data visualization, classifier training, linear regression, and clustering techniques.