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Temperature forecasting notebook (Python)

Using shallow (as opposed to deep) models, develop predictive models that predict the temperature (Temperatura) on the next seventh day:

* Don't use forecasting models like ARIMA or Holt-Winters

* Set variables from historical data. For example, you can set data such as the average temperature of the last 3 days, of the last 7 days, of the last 10 days, the minimum air pressure of the last 3 days, of the last 7 days, of the last 15 days , the values of the previous day of all the variables, the values of 1 year ago on the same date, etc.

* You must create a cross section dataset, estimating the variables to use each day, or each week, or each month.

* Use models like SVM and traditional artificial neural networks

* Use variable selection techniques such as PCA, LDA and Lasso

* Try applying different normalization techniques

Beceriler: İstatistik, İstatistiksel Analiz, Veri Bilimi, Python

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