Category: Python

Web Crawler – Part 1 Hi Everyone! Today we will learn about Web Crawler. A Web Crawler is a technique that we use to extract information from a web-page. In this basic crawler we will extract all the website links being present on a web-page. To implement it we will use a Python Library called […]

Create Words’ Data-Set from RSS Feeds Hi Everyone!! Whenever we try to learn some Machine Learning algorithm, the first thing that comes to our mind is “How we can get live data or real data for testing our algorithm”. This article helps to create words’ data-set from RSS feeds, by extracting data from RSS feeds […]

Pygal Tutorial: Part 1 Hi ML Enthusiasts! Today, in this part 1 of Pygal tutorial, we will be working on visualizing data using Pygal plots. From today, I will be introducing new feature to my blog posts, i.e., explaining Python codes and concepts through Jupyter notebooks. They are great for step-by-step analysis of the codes […]

Data Visualization using Matplotlib: Part 2 Hi everyone, in our last tutorial DATA VISUALIZATION USING MATPLOTLIB: PART 1 we studied about how we can generate our own data and some data visualization methods like bar graph and a single line chart, you can look for them here. In this tutorial we learn some more techniques for data […]

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 […]

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 […]