Stock Prediction machine learning
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Updated
May 12, 2018 - Python
Stock Prediction machine learning
Pesronal application deployment using Streamlit.
Based on pizza orders from 2016, determining the ingredients Pizza Maven should buy in order to become a more efficient restaurant in terms of stock management and saving the results of such suggestions to a xml file
Using machine-learning skill to predict stock price.
Model for the Stockex project.
Predict stock performance by matching it to a city's skyline
AmrevX Stock Predictor. In this project, we aim to make a stock predictor, only using python, which as the name suggests predicts the status of stocks.
Based on pizza orders, determining the ingredients Pizza Maven should buy in order to become a more efficient restaurant in terms of stock management
Machine Learning//NN: Sigmoid function
Based on pizza orders from 2016, determining the ingredients Pizza Maven should buy in order to become a more efficient restaurant in terms of stock management
Stock prediction by using historical price and LSTM
predicting Google stock price, based on pre 80 days price
LSTM Network predicting stock market
Predict stock prices using python
An implementation of the scikit-learn Random Forest Classifier, used to predict the direction of AAPL stock over a time horizon of 90 days, loosely following the paper at https://arxiv.org/abs/1605.00003 .
Predicting the day's high price depending on the day's open price of Google and Ripple cryptocurrency
Conducted research in the fusion of machine learning models to improve stock market index prediction accuracy. Evaluated individual models (LSTM, RF, LR, GRU) and compared their performance to fusion prediction models (RF-LSTM, RF-LR, RF-GRU).
Everything related to US stock. Data collection, formatting, and analysis
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