This 30 minutes video features my interview about the upcoming course “Intuitive Machine Learning”, based on my new book with the same title. Hosted by Victor Chima, co-founder of LearnCrunch.com. Both the course and the book include a solid introduction to scientific computing in Python. In this presentation, I answer …

Exploratory Data Analysis (EDA), Machine Learning projects, Economical/Financial analysis, scientific research, even single articles on different topics in newspapers involve examining correlation between variables. But what is correlation? How do we use it? Can we measure it? Can we visualize it? What is causation? How is it helping your business? …

Python is a popular programming language with many advantages over other languages. It’s easy to read, write and maintain, which makes it the perfect choice for beginners and experts alike. There are lots of libraries available for almost any type of data science you could want to do and it …

Read this story to learn the roadmap you could follow to get a python job where you can take your skills to the next level while you get paid.

Intro Back in Summer of 2021, vaccines were ready and available in the United States but not all over the globe. As my family in Trinidad and colleagues in India reported, in those areas, people were on waiting lists to receive the vaccines that were in very limited supply. I …

To demonstrate your SQL skills to your future or current employers, you need to create your own projects. This is how you will learn to apply your knowledge in real-world scenarios. So, let’s look at 10 cool SQL projects that you can do right now. Most of them are beginner-friendly, …

After reading this tutorial, you’ll learn what data structures exist in Python, when to apply them, and their pros and cons. We’ll talk about data structures in general, then dive deeper into Python data structures: lists, dictionaries, sets, and tuples. What Is a Data Structure? A data structure is a …

Lists are commonly used data structures in Python. We will often encounter situations wherein we need to make a copy of a list, and you may ask yourself, "How can I copy a list in Python?" or "Which copy method suits my requirements best?" This tutorial will teach you how …

You’re here for two reasons: 1) you want to learn to create a K-means clustering model in Python, and 2) you’re a cool person because of that (people reading data36.com are cool persons 😎). Back to reason number one: it’s not surprising, because K-means clustering is one of the most …

A cutting-edge data science model can only be created if impact is measured properly. Pinterest upgraded everyone's preferred impact measurement metric, CTR.

Was LendingClub's decision to terminate its flagship lending platform a reflection of their lack of appreciation for the “core” asset of the business – its data? The post LendingClub's Midlife Crisis first appeared on Data Science Blog.

If you use Python, you’re probably familiar with lists, and you probably use them a lot, too. They’re great data structures with many helpful methods that allow the user to modify the list by adding, removing, and sorting items. However, there are some use cases when a list may look …

Simply put, everything that happens in a computer is a process. When you open an application or run command-line commands or a Python script, you’re starting a new process. From opening a menu bar to starting a complex application, everything is a process running on your machine. When you call …

I had some errors in a recent blog post that might have been eliminated if I had programmatically generated the content of the post rather than writing it by hand. I rewrote the example in this post in using org-mode. My org file looked like this: #+begin_src python :session :exports …

Data science is a very complex field that requires the insights of professionals from many different disciplines. One of the fields of professionals that are so important for data science projects are Python developers. What is the Python programming language? Why is it so important in the data science profession? …

I’ve had to work a little with VIN numbers lately, and so I looked back at a post I wrote on the subject three years ago. That post goes into the details of Vehicle Identification Numbers and the quirky algorithm used to compute the check sum. This post captures the …

Iterating through HTML tables can be tricky, so we've created this simple guide to help you understand how to use Python to extract tabular data from public HTML tables. The post How to Use Python to Loop Through HTML Tables and Scrape Tabular Data appeared first on Data Science Central.