Today, **give a try to Techtonique web app**, a tool designed to help you make informed, data-driven decisions using Mathematics, Statistics, Machine Learning, and Data Visualization

New in `nnetsauce`

v0.16.3:

- add
**robust scaler**to`type_scaling`

- relatively
**faster scaling**in preprocessing **Regression-based classifiers**(see https://www.researchgate.net/publication/377227280_Regression-based_machine_learning_classifiers)`DeepMTS`

(multivariate time series forecasting with deep quasi-random layers): see https://thierrymoudiki.github.io/blog/2024/01/15/python/quasirandomizednn/forecasting/DeepMTS- AutoML for
`MTS`

(multivariate time series forecasting): see https://thierrymoudiki.github.io/blog/2023/10/29/python/quasirandomizednn/MTS-LazyPredict - AutoML for
`DeepMTS`

(multivariate time series forecasting): see https://github.com/Techtonique/nnetsauce/blob/master/nnetsauce/demo/thierrymoudiki_20240106_LazyDeepMTS.ipynb - Spaghetti plots for
`MTS`

and`DeepMTS`

(multivariate time series forecasting): see below **Subsample continuous and discrete responses**

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