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prediction-algorithms

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kochlisGit / LSTM-Stock-Predictions

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Prediction of Stock price using Recurrent Neural Network (RNN) models. Contains GRU, LSTM, Bidirection LSTM & LSTM combinations with GRU units. The models were deveoped using the keras module from Tensorlfow.

python google tesla keras recurrent-neural-networks dataset lstm gru rnn prediction-model stock-price lstm-neural-network tensorflow2 rnn-models prediction-algorithms stocks-prediction rnn-architectures
  • Updated Mar 17, 2022
  • Python

Ishan-sinha / Stock-market-analysis-and-prediction

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The goal of this project is to comparatively analyze the effectiveness of prediction algorithms on stock market data and get general insight on this data through visualization to predict future stock behavior and value at risk for each stock. The project encompasses the concept of Data Mining and Statistics

data-mining stock-market predictive-modeling hacktoberfest prediction-algorithms
  • Updated Oct 1, 2020
  • Jupyter Notebook

CamilaAcacio / Mestrado-ISRet

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This work presents an infrastructure that focuses on the capture and storage of the project execution data history, the prediction of the results of the unit tests through prediction algorithms: Logistic Regression, Naive Bayes and C4.5 Algorithm, and the provision of data for external applications. It also provides preview elements which help i…

regression-tests data-provenance prediction-algorithms continuous-software-engineering
  • Updated Aug 24, 2022
  • Java

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