Recommending Items Hi everyone! In our last 2 tutorials we studied Euclidean Distance and Pearson Correlation Score for finding out similarity among people. Now, it’s time for recommending items to people which they have never tried. Have you have ever thought that how different shopping websites or social media websites recommend items to us which […]
Author: Nitesh Goyal
Pearson Correlation Score
Pearson Correlation Score Hello everyone, in our last Machine Learning tutorial we learnt about that how we can use Euclidean Distance formula to find out similarity among people. In this tutorial we learn a new way to do the same thing but in a bit complex or rather I should say in advanced manner. We […]
Euclidean Distance for finding Similarity
Euclidean Distance for finding Similarity In this tutorial, we will learn how to use Euclidean distance for finding similarity. Have you ever thought that how we can judge whether the two people are similar or not, or in a group which two have highest similarity? If yes, then here is the answer. Let us understand […]
Hello Learners!
Hello Learners! Welcome to our blog, Machine Learning For Analytics. Here, you will get all you need to learn Machine Learning, Deep Learning, Business Analytics and Statistics from basics to advanced level with strong emphasis on hands-on. The coded examples will mainly be written in Python and R. All of the required algorithms will be […]