Data-Science-Community-SRM / Conjexure-A-Web-App-for-Stock-Market-Forecasting
Conjexure is a machine learning web app for forecasting the stock prices of certain companies into the future.
☆24Updated last year
Alternatives and similar repositories for Conjexure-A-Web-App-for-Stock-Market-Forecasting:
Users that are interested in Conjexure-A-Web-App-for-Stock-Market-Forecasting are comparing it to the libraries listed below
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆84Updated 5 months ago
- Visualising stock price predictions for several Machine Learning models using DASH, Python☆15Updated 2 years ago
- 1. First we fetch data of stocks in realtime from nse India website, perform basis data visualizations using python to analyze the stock.…☆60Updated last year
- This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (S…☆50Updated 4 months ago
- Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment A…☆71Updated 4 years ago
- This Project is predicting stocks for 32 companies with error less than 1% using LSTM Networks.☆64Updated 4 years ago
- Stock prediction app using Streamlit and Facebook prophet☆40Updated last year
- Predicting stock market prices using RNN with LSTM☆12Updated 5 years ago
- Using Technical, Fundamental, and Sentimental Analysis with Machine Learning☆74Updated 5 years ago
- 💰 Interactive dashboard for Stock Market Investments☆38Updated 3 years ago
- The git is about Indian Stock market prediction.☆51Updated 6 years ago
- Stock market prediction of a stock using stacked LSTM☆10Updated 4 years ago
- Stock search and analysis web app built using the Streamlit and yfinance libraries.☆13Updated 4 years ago
- A collection of notebooks and different prediction models that can predict the stock prices. Also a comparison of how all these models pe…☆29Updated 4 years ago
- ☆251Updated 2 years ago
- A group project for CMPE272 at SJSU☆35Updated 6 years ago
- Stock Price Prediction case study using Keras☆165Updated 4 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Networks to predict stock prices.☆83Updated 3 years ago
- In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EM…☆37Updated 3 years ago
- This repository demonstrates how data science can help to identify the employee attrition which is part of Human Resource Management☆16Updated 5 years ago
- ☆68Updated 5 months ago
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆52Updated 4 years ago
- The goal of this project is to build an unsupervised machine learning model that predicts customers' next purchase date.☆19Updated 3 years ago
- Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The…☆23Updated 6 years ago
- Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)☆20Updated 7 years ago
- Jupyter Notebooks Collection for Learning Time Series Models☆68Updated 5 years ago
- In this project, I have tried to predict the stock price of Microsoft using LSTM☆17Updated 5 years ago
- My Experiments with Time Series☆25Updated 3 years ago
- Building an option trading dashboard with Python☆0Updated 3 years ago