#Price-prediction
Showing 8 of 8 repositories tagged #price-prediction, ranked by stars
ApnaAnaaj aims to solve crop value prediction problem in an efficient way to ensure the guaranteed benefits to the poor farmers. The team decided to use Machine Learning techniques on various data to came out with better solution. This solution uses Decision Tree Regression technique to predict the crop value using the data trained from authentic datasets of Annual Rainfall, WPI Index for about the previous 10 years. This implementation proved to be promising with 93-95% accuracy.
Machine learning regression algorithm on cryptocurrency stock price for the next 30 days.
Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)
An S&P500 Stock Index Movement Predictor built with Machine Learning models
Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine
This repo contains backtesting scripts for various models(mainly LSTM) using different type of datasets to predict bitcoin price. Upto 98.7% accuracy, but let me tell you it’s not enough to generate profits on a regular basis ;)
Prediction This repository contains the code and datasets for analyzing and predicting fuel prices, specifically Brent Oil, Crude Oil, Natural Gas, and Heating Oil. The project focuses on creating models to predict the closing prices of these fuels based on their opening, highest, and lowest prices.
This project develops and fine-tunes a TimeSeriesTransformer model to forecast EURUSD 5-minute closing prices, serving as a modern counterpart to a baseline LSTM model