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I am predicting sales (say dollars, which is the target) using DeepAR by training multiple related time series. Following are details of features and target (value ranges):
Target variable: (sales …
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https://jakevdp.github.io/PythonDataScienceHandbook/04.08-multiple-subplots.html
**Linear Regression Derivation**
https://towardsdatascience.com/linear-regression-derivation-d362ea3884c2
**ASS*…
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Please, any suggestion to save trained agents like for example: 19.recurrent-curiosity-q-learning-agent?
Thanks a lot!!
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Hi,
great work. I want to know what is the data source from? can you share the data prepare scripts and the datasource.
have you tested 30mins data?
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## Conducting Stock Technical Analysis (TA) with Python and ChatGPT
### Methodology for Stock TA Analysis with Python and ChatGPT:
#### Data Acquisition and Indicator Computation:
1. **Employ `…
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For the prediction of future trends and datasets, Arima modeling can be considered in action
Under Gssoc'24, assign this issue to me
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I have data with daily format, not on hourly format.
how to handle this ?
Dataframe example:
![image](https://github.com/Nixtla/nixtla/assets/152303921/19259e16-a5ef-4c84-a75c-1462854ea262)
…
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If one uses eg. a RF model to learn the side (instead of a simple moving average model), then how is meta-labelling carried out? Because we train the 1st primary model (RF) on X_train, do we also want…
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To help @llSourcell fix Git logs, the current [`config.json`](https://github.com/git-utilities/fix_logs/blob/master/config.json) file contains entries similar to...
> Update notice, `57` reposito…
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+ Tuliskan setidaknya 3 permasalahan yang akan dipecahkan dalam RBL menggunakan Machine Learning.
+ Sertakan 2 referensi yang menginspirasi setiap permasalahan, seperti website, blog, ataupun jurnal.…