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Time series prediction using ARIMA vs LSTM

I think, you are misusing MachineLearning & Deep Learning when trying to predict tomorrow... - any statistical Approximations of the chaos can show just averaged Tendency & its borders (...
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Time series prediction using ARIMA vs LSTM

ARIMA gives Trend (or Regression) - can see its slope (that reflects speed of change dx/dy)... LSTM gives MovingAverage - posessing curvature & slope in each moment - that can characterize not ...
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Get negative predicted value in Support Vector Regresion (SVR)

It's frequent in regression tasks that for some instances, the predicted value is out of bounds of the theoretical range, sometimes in a way which is semantically meaningless for the task. This is due ...
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  • 21k
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Categorical data preprocessing for training a algorithm

You can try using other encoder like Mean Encoder, Ordered Label Encoder, Weight Of Evidence Encoder, Propbability Ratio Encoder, Binary Encoder
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Prediction for package delivery to summarize packages

For clarity, let me state my understanding. The problem is about predicting whether a customer, after a 1st order, will put any additional order before a 'mandatory delivery date' when the 1st order ...
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  • 328
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Prediction issue with xgboost custom loss

I think your grad and hess go wrong, try: grad = 2*(preds-y) hess = 2*np.ones(len(y))
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