ChatGPT Continues to Transform the World of Data Science

Let's see how.

Generated with ChatGPT

Since its release, not a single day has passed that I have not used ChatGPT. During that phase, I have been working a day job as a data scientist and writer with a great company that aims to teach Data Science to beginners.

I love my job; it really provides me with the experience I need, which is explaining things clearly. If you know better, you can explain it more easily.

“If you can’t explain it simply, you don’t understand it well enough.”

Albert Einstein

That’s why I gained a lot of experience, especially in Data Science, with ChatGPT.

ChatGPT Plug-ins for Data Science

I enjoy breaking down complex terms into simpler components, solving them, and gaining a deeper understanding of the whole. Data Science can be divided into these subsections;

Data Science Subsections: Analyzing ChatGPT Data Science

Now, let me break down these stages in simple terms.

Let’s say you'll work on a full-stack, mind-blowing, job-cracking data science project together here.

Web Scraping

First, you need data to work on. But if you want to do a top-notch project, you should collect your data by using web scraping techniques or an API. I’ll expand more later.

Next, you have the data, but it is in its raw form.

Generated with Memegen.

Your data must be prepared for analysis.

Data Exploration

You will work on the data, but what is its shape? Which columns should you transform? Do you need all of your columns? There are answers to each of these questions.

Custom functions work amazingly well for these tasks, we will write these custom functions together, especially by using ChatGPT, like Code Interpreter, Noteable plug-ins, and more.

Article Read Over Time- Code Interpreter — Image by Author

Data Visualization

Now, your data is ready, you will build a machine learning model, but before doing that, you should create some visuals that will be the face of your project, the most critical stage.

Image by Author.

However, here we will discover not just a Python library, but also various ways to create visuals, especially with generative AIs like leonardo.ai. It is similar to a free version of Midjourney, as seen in the cover picture of this article.

Machine Learning

Finally, it is time to build a machine learning model. It is straightforward; you can do this in 5 minutes, but the most important thing is finding the best possible algorithm.

Image by Author

Final Thoughts

You can now read my public articles here. But if you want to see more, I also want you to offer more.

Here I will offer three exclusive contents to my followers:

• Projects

• CustomGPT’s

• Series

• Prompts

Thank you for reading. See you on the other side!