Stock-market-prediction-and-screener

โ˜… 55 Open GitHub โ†—

In Stock Market Prediction, our aim is to build an efficient Machine Learning model to predict the future value of the financial stocks of a company.Our machine learning model will be presented to retail investors with a third-party web app with the help of Streamlit.

Explore Similar Repositories

pyapprox : Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
niceml : niceML ๐Ÿฆ is a Python-based MLOps framework designed to streamline the development and maintenance of machine learning projects, offering efficient and scalable pipelines using TensorFlow and Dagster.
torch : Torch is a scientific computing framework with wide support for machine learning algorithms. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.
RaSPDAM : RaSPDAM - an efficient machine learning algorithm based on U-Net to detect radio single-pulse signals.
barecat : Efficient data storage format optimized for random-access reads, especially in machine learning workflows
// repository documentation