26hzhang / stockprediction
stock price prediction, Plain Stock Close-Price Prediction via Graves LSTM RNNs
From user 26hzhang
stock price prediction, Plain Stock Close-Price Prediction via Graves LSTM RNNs
From user 26hzhang
stock price prediction, This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Networks to predict stock prices.
From user amn-jain
stock price prediction, The coding has been done on Python 3.65 using Jupyter Notebook. This program fetches LIVE data from TWITTER using Tweepy. Then we clean our data or tweets ( like removing special characters ). After that we perform sentiment analysis on the twitter data and plot it for better visualization. The we fetch the STOCK PRICE from yahoo.finance and add it to the data-set to perform prediction. We apply many machine learning algorithms like (random forest, MLPClassifier, logistic regression) and train our data-set. Then we perform prediction on untrained data and plot it with the real data and see the accuracy.
From user anubhavanand12qw
stock price prediction, Fall 18' Class Project for Artificial Intelligence
From organization bcmi
stock price prediction, Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.
From user canepunma
stock price prediction, Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data from Jan 2000 to Aug 2016
From user dhingratul
stock price prediction, In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US stock market.
From user hthoai
stock price prediction, In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.
From user hungchun-lin
stock price prediction, Attemp to predict stock prices with previous historical data using machine learning specifically regression.
From user jake0303
stock price prediction, Stock Price Prediction case study using Keras
From user krishnaik06
stock price prediction, Stock price prediction with recurrent neural network. The data is from the Chinese stock.
From user kulbear
stock price prediction, Stock Price Prediction using CNN-LSTM
From user matheusbfernandes
stock price prediction, Use BPNN and LSTM to forecast stock price. 使用BP神经网络和LSTM预测股票价格,注释拉满。
From user maybewilliam
stock price prediction, Data and Notebook for the Stock Price Prediction Tutorial
From user mwitiderrick
stock price prediction, Predicting stock price using historical data of a company, using Neural networks (LSTM).
From user nayash
stock price prediction, null
From user ninja3697
stock price prediction, OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
From user nourozr
stock price prediction, Recurrent Neural Network (LSTM)
From user parasgr7
stock price prediction, Basic Stock Price Prediction Using KNN Algorithm. #Python
From user sammanthp007
stock price prediction, Stock Price Prediction using Machine Learning Techniques
From user scorpionhiccup
Home Page: http://scorpionhiccup.github.io/StockPricePrediction
stock price prediction, Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity, Objectivity, Positive, Negative, Neutral) data is gathered from the news data and further used to predict stock prices. Achieved an accuracy of 94% using XGBoost.
From user shreyamsjain
stock price prediction, Stock price prediction with LSTMs in TensorFlow
From user tencia
stock price prediction, Use NLP to predict stock price movement associated with news
From user waynedw
Home Page: http://goldenrocks.me/
stock price prediction, A stock trading bot that uses machine learning to make price predictions.
From user yacoubb
stock price prediction, Code for stock movement prediction from tweets and historical stock prices.
From user yumoxu
stock price prediction, A comprehensive dataset for stock movement prediction from tweets and historical stock prices.
From user yumoxu
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