Programming

Learning Python can be difficult. You might spend a lot of time watching videos and reading books; however, if you can’t put all the concepts learned into practice, that time will be wasted. This is why you should get your hands dirty with Python projects. A project will help you bring together everything you’ve learned, […]

Photo by Max Duzij on Unsplash Jupyter Notebook is the computational notebook of choice for data scientists and AI enthusiasts. It allows you to create documents containing not only live code but also equations, visualizations, and text. However, by default, Jupyter Notebook lacks several useful features, such as autocompletion, a table of contents, code folding, etc.

Flickr If you’re not into coding, go to settings and turn off notifications for “AI & Python” (leave the rest the same to keep receiving my other emails) If you’re learning Python and would like to develop a machine learning model then a library that you want to seriously consider is scikit-learn. Scikit-learn (also known

In a previous article, we’ve learned machine learning algorithms any AI enthusiast should know. Today, we’ve learned how to implement one of the most basic algorithms in Python. P.S. If you’re not into coding, go to settings and turn off notifications for “AI & Python” (leave the rest the same to keep receiving my other

Credit: Wikimedia Commons Hi! Here’s another reminder about the special 25% Substack discount for the annual plan. Click ​here​ to get an annual subscription to my Substack (by the way, annual subscribers can redeem up to 2 of my Udemy courses for free) The discount ends in two days. In a previous article, we learned

We’re continuing with out Behind AI series. I’ve just added a tab to the Artificial Corner site where you can follow all the editions of this series. Click here to see it. As someone who has been working with Excel for many years, I know that the idea of learning things you can already do