I developed Machine Learning Software that Predicts Germany's Economic Development from 2015 to 2019. In this software, the purchasing power of the Euro against the US Dollar, its comparison against the US Dollar, and various economic parameters are estimated and classified. In addition, if the value of these data in 2019 is greater or less than the value in 2015, it is divided into various classes. In addition, the data was visualized using the matplotlib library and saved as .dot, and Extra tree visualization was also made. Finally, the software and the model have been prepared with great care and the data has been entered manually and is completely original.
The values you enter should be (respectively):
Example: predics = model_regres.predict([[1.8,3.8,2.5,3.5,0.6]])
Outpot : Prediction economy class: ['2015 values > 2019 values. Maybe, Economy parameter is very little good..']
I am happy to present this software to you!
Data Source: DataSource , DataSource1 ###The coding language used:
Python 3.9.6
###Libraries Used:
Sklearn
Pandas
Matplotlib
Name-Surname: Emirhan BULUT
Contact (Email) : emirhan.bulut@turkiyeyapayzeka.com
LinkedIn : https://www.linkedin.com/in/artificialintelligencebulut/
Official Website: https://www.emirhanbulut.com.tr