Yash Mehta's Projects
Group 27
50.039 Deep Learning Project
Mostly experiments based on "Advances in financial machine learning" book
This repository offers a curated collection of research papers and code examples covering advanced trading strategies and financial engineering, including quantitative and algorithmic trading. It serves as a comprehensive resource for industry professionals and enthusiasts alike, helping them stay ahead of the curve in this rapidly-evolving field.
A collection of code snippets that can be constructed into larger trading algorithms.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
:link: Some useful websites for programmers.
Modified version of https://github.com/camelot-dev/camelot
Group 19 Computational Data Science Project
Streamlit Repository for 50.038 CDS Project
The CQF resources and my learning records
Application of Multiple Linear Regression models on Tunisiaβs food inflation
12 Lessons, Get Started Building with Generative AI π https://microsoft.github.io/generative-ai-for-beginners/
Analyzed German Credit Risk dataset in R and wrote a research report alongside (https://www.kaggle.com/datasets/uciml/german-credit)
2023 Jan - Apr
Accurate answers and instant citations for your documents.
Kristal.AI assignment
Source code to replicate store_nodes_override attribute issue of VectorStoreIndex
LlamaIndex (formerly GPT Index) is a data framework for your LLM applications
A chatbot π€ which remembers π§ using π¦ LangChain π OpenAI | Streamlit | DataButton
Machine Learning in Finance: From Theory to Practice Book
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Investment Research for Everyone, Anywhere.
A nimble options backtesting library for Python
Plumb a PDF for detailed information about each char, rectangle, line, et cetera βΒ and easily extract text and tables.