I'm a data scientist by day and a writer by night, so you'll find me writing mostly about Analytics.
Top 8 Classification Algorithms in Machine Learning Explained
Classification algorithms are one of the essential types of machine learning algorithms and are also the most popular. Classification algorithms identify items in a dataset based on their characteristics. They can be applied to categorize data, such as identifying spam messages or determining whether a customer is likely to purchase a product. These algorithms can also predict the probability that an item belongs to a particular group.
What Is Data Visualization and Why Is It Important?
Data visualization is a potent tool that can help you understand better, engage with, and learn from your data. Data visualization improves decision-making by making it easy to comprehend information at a glance and identify trends. This article will explain how data visualization can help you improve your decision-making skills and provide tips for improving your own data visualization.
How to Select an IDE for Data Science
You might have heard that the future of Data Science is open source. It’s true! Open source tools mean more options, lower costs, and a better chance of collaboration with other Data Scientists around the world. But with so many IDEs and no one-size-fits-all solution, how do you know which one to choose? In this article, I’ll cover some of the best practices for selecting an IDE so that you can make an informed judgment and decision when deciding which one is right for your project.
7 Reasons You Should Learn SQL in 2022
SQL is more than just a database language. It’s an essential skill that every data expert should have. While some people are intimidated by the idea of learning SQL and database management systems in general, it isn’t that hard, and there are tons of resources to help you. This article will cover why you should learn SQL in 2022, how easy it is to pick up, and why everyone needs it.
Chrome Extensions to Make Your Programming Life Easier In 2022
We’re used to the concept of tools that make our lives easier. For instance, in our busy work lives, we often use tools like highlighters and sticky notes to organize our thoughts, or we might use a calculator to add up figures faster than we could add them in our heads.
Anime Review: Ao Ashi
Sports anime may share some underlying similarities, but the writing and execution can vary greatly. Ao Ashi creates a world full of lessons and adversity in football and life. And like most sports anime, you don't have to be a fan of football to enjoy it. Like in any other good anime, the characters, the climax, and the emotions are all present. The primary goal of this anime review is to demonstrate how Ao Ashi differs from other sports anime in specific ways, what those differences are, and how good it is overall.
R vs. Python: Which One Is Better for Data Science?
Data science is an interdisciplinary field that uses statistical and programming skills to analyze and visualize large amounts of data. It’s an essential skill for any modern professional because most data is unstructured and impossible to understand without some programmatic help.
How to Have a Better Work-Life Balance
When you're in your 20s, getting caught up in the hustle and bustle of life is easy. You're establishing yourself professionally, and finding time to care for yourself can be challenging. Most millennials deal with this by multitasking, trying to do everything at once, so they don't miss out on anything but that approach is not sustainable for long. As a result, we end up stressed out, burned out, and falling ill due to stress-related illnesses like insomnia or depression.
Blockchain Technology in Banking & Finance
The industry of banking has been around for a long time, but it’s now undergoing a massive transformation thanks to blockchain technology. It is changing how business is done in countless ways, but one of the most significant impacts is that it will make transactions more transparent and secure than ever before. In addition, many experts believe blockchain could prevent fraud in financial transactions — from credit cards to digital currencies. This article will discuss ways the banking industry is changing by implementing blockchain technology.
Why Is Cloud Computing Important For Data Science
Data science is a growing field and has been called the sexiest job of the 21st century. It’s a thrilling time to be a data scientist, but it can also be challenging and overwhelming. One thing that makes it easier for me as a data scientist is cloud computing. Cloud computing allows me to work with datasets at scale, test my code on different platforms, and expand my skillset by using multiple programming languages within one project. In this article, we’ll explore why cloud computing is vital for data scientists today and in the future.