Hi! As I mentioned in previous emails, I’ve separated the Python articles and created a new newsletter “AI & Python.“ This newsletters is for those who want to learn Python, coding concepts, automation, and create AI apps (even if you’re a complete beginner). This article is all about web scraping projects (which plays an important […]

Via Shutterstock Hi! Data is an important resource in AI. Companies store data in different types of databases and today we’ll learn everything about them (in the next article, we’ll focus on a type of database that is specially used in AI, so stay tuned!) No matter what your job is probably you’ve ever heard

Image via Shutterstock I know the name of this series is Python & AI but I couldn’t resist to add this SQL piece as we’ve seen data is essential in AI models and also because in the next article I’ll show you how to use a built-in database that Python has (you need SQL knowledge

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

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

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