I am working on a classification project and using Random Forest Classification.
I have trained a model to the effect with 90% accuracy with 3 classes.
As i had to transpose i have close to 1500 columns.
Now i have to scale this for 10 million rows and for close to 300 classes.
I see the number of columns to be held in memory will the a few millions.
Obviously the data is private and i cannot put it on the cloud. What is the best way to handle this with a machine or few