How to train a trained model with new examples in scikit-learn?
Append the new data to your existing dataset, and train over the whole thing. Might want to reserve some of the new data for your testset.
I'm working on a machine learning classification task in which I have trained many models with different algorithms in scikit-learn and Random Forest Classifier performed the best. Now I want to train the model further with new examples but if I train the same model by calling the fit method on new examples then it will start training the model from beginning by erasing the old parameters. 
So, how can I train the trained model by training it with new examples in scikit-learn?
I got some idea by reading online to pickle and unpickle the model but how would it help I don't know.