Data Visualization Using Matplotlib: Part 1 Hi ML enthusiasts! Today, in this tutorial on Data Visualization using matplotlib, we will learn about visualizing data using the matplotlib library of Python. Data Visualization is very important in the field of data science. When we are dealing with so much data, it becomes a necessity to visualize […]
Finding The Most Popular Cartoon Hi ML enthusiasts! Today, we will solve a case study on finding the most popular cartoon among the list of cartoons by using Python language. Dictionary of cartoons So, we are given the data in the form of a list of dictionaries which has Id and the name of cartoon […]
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 […]
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 […]
Introduction to Machine Learning Hi ML enthusiasts! Today, we will start our journey to learning Machine Learning for Analytics. This is probably the most thought-about subject and interesting too. Let’s get started by going through this quote: The incredible thing about the human mind is that it didn’t come with an instruction book. -Terry Riley […]
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 […]
Data science is an art of analyzing the data generated by the businesses, to look for any meaningful patterns in them, which can be interpreted to make inferences and generate profit.