Sometimes the features have completely different scales. For example lets imagine a website displaying a list of movies. Each movie has a score between 0 – 10 and also displays the number of likes, that represents how many people has clicked on the button “I like the movie”. We cannot calculate an average of these two features because they have …
Machine learning (summary)
A useful summary of the machine learning techniques using sklearn. This summary was created by Udacity’s data scientists. Dataset/Question Do I have enough data? Can I define a question? Do I have enough or the right features to answer the question? Features Features are simply variables, information that can be quantified and recorded. Feature creation Think about it like a …