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 […]
Machine Learning – Overfitting And How To Avoid It
What is overfitting? 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 […]
Evaluation of machine learning classification models
This is basically the content of the video for those who can’t or don’t want to watch the video but i would still recommend the video because there are graphical explanations of some parts of this content. In todays video I will cover 5 measures for the quality of a classification model.We will use the […]
Sentiment Analysis – Having Fun With Python And Texts
Let’s first quickly explain what sentiment analysis actually is. Sentiment analysis is a programmatic way of determining the mood of a specific text and therefore falls in the broader category of NLP (Natural Language Processing). With sentiment analysis, you are able to predict whether a given text has a positive or negative meaning. A good […]