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Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
Config files for my GitHub profile.
机器学习算法的公式推导以及numpy实现
Stock Price Prediction Based on Single-output and Multi-output Deep Neural Networks
Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co-integration, Euclidean and Pearson.
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
天池“资金流入流出预测——挑战baseline”的解决方案,线上效果143.5
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Open source projects and samples from Microsoft.
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