In this Video I will show you how you can easily tune the crap out of your model… using python and scikit-learn.
The model we will be using in this video is again the model from the Video about sentiment analysis.. but slightly changed…. so if you haven’t watched the video yet…now would be a good time to go for it!
In machine learning you’re usually trying to predict outcomes for values that you’ve never seen before based on training data that you have seen and know about.
So overfitting is basically when your model is trained so specific on the training dataset that predictions are bad for data that the model has never seen before.
The code for this article can be found at: https://github.com/coding-maniac/classification_evaluation
German version of this video: https://youtu.be/rtyJyzqeByU
Deutsche Version: Sentiment Analyse mit Python
This Video shows how to implement a basic sentiment analysis with python. Sentiment analysis is a machine learining algorithm to analyse the mood of something. In this Video we will use it to predict whether a review is positive or negative.