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Stock Price Prediction with SVM Analysis by rafa.calvito98 is a document available to read on EtoBox.

What is Stock Price Prediction with SVM Analysis about?

The document discusses the process of building and evaluating a predictive model for stock price directions using 10-minute interval data for Alibaba (BABA). It covers topics such as MSE estimators, entropy, feature selection, data gathering and cleansing, and the importance of scaling and stationarity in time series data. The analysis includes the use of weighted SVMs, feature selection through Recursive Feature Elimination, and the comparison of numerical versus one-hot encoding for datetime features.

Author

rafa.calvito98

Language

EN