AI

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

Photo by Laurentiu Iordache on Unsplash Tokenization is a common task we have when working with text data. It consists of splitting an entire text into small units, also known as tokens. Most Natural Language Processing (NLP) projects have tokenization as the first step because it’s the foundation for developing good models and helps us better

Via Pixabay Natural language processing (NLP) is a subfield of AI that uses machine learning to enable computers to understand and communicate with human language. NLP is used in various AI applications like chabots. Today, we’ll learn some common NLP techniques. We’ll focus on the concepts. That said, I added some lines of Python code

Via Shutterstock Believe it or not, the moment you installed Python on your computer, you also installed other wonderful tools. One of them is SQLite. SQLite is an embedded, file-based relational database management system (RDBMS) that can be used in our Python applications without having to install any additional software. Instead, we only need to