To clearly visualise your data without worrying about scientific notation, you can transform your data by using either of methods MinMaxScalar , StandardScalar or Normalisation technique. Apart from that there are other data transformation methods but you can use either of the above methods.
Now you can use these transformed data to train your model. Of course parameters value will be different after fitting model with transformed data than fitting model with original data.
To get the actual output you need to transform the individual input by using the same method and then convert the output into original scale by using the reverse of the same method.
For example, you transform your data by dividing it with max of your data and trained your model. Now you have an individual input to predict the output. So you have to devide the input with same max data. After getting the output, you need to perform the reverse transformation means multiply the output with max data.
Note: Each column will have their own max, so use respective column's max to transform. Similarly target column will also be having it's max value.