In this tutorial, we will learn how to plot geographical data on a map using Python Plotly. For this demonstration, we’ll plot COVID-19 cases from ourworldindata.org dataset. Steps to Plot Geographical Data on a Map in Python Let’s get started. 1. Import the required libraries Let’s start with importing the necessary libraries. We need to […]

Let’s talk about a very important topic for improving code compatibility – Virtual Environments in Python. You might have heard of developers talking about how some code seems to work on their system, but, doesn’t seem to work on a different one? The well known “it works on my system”. Why do we face code […]

Hey! In this article, we will be focusing on the key concepts of decision trees in Python. So, let’s get started. Decision Trees are the easiest and most popularly used supervised machine learning algorithm for making a prediction. The decision trees algorithm is used for regression as well as for classification problems. It is very […]

In this tutorial, we will see how to install the xmltodict module and use it in our Python programs to work easily with XML files. We will see how to convert XML to Python dictionaries and to JSON format and vice-versa. Install the xmltodict module using pip For Python 3 or above we can use […]

Effective implementation of Machine learning algorithms or even when doing some data analysis on a dataset, we require clean data. There’s a well-known saying about numerical modeling with data, “Trash in Trash out” we can’t expect decent results when our data isn’t clean. in this article, we’ll explore common techniques we can use to clean […]

Probability Distributions are mathematical functions that describe all the possible values and likelihoods that a random variable can take within a given range.  Probability distributions help model random phenomena, enabling us to obtain estimates of the probability that a certain event may occur. In this article, we’ll implement and visualize some of the commonly used probability distributions […]