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 […]

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

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.

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,

Hi! Before we start with today’s article, I have great news for all of you! From November 4th to 10th, DataCamp is offering unlimited FREE access to their entire learning platform! It’s the perfect chance to level up your Python, data and AI skills. This includes: Access to 510+ courses, career tracks, and certifications Learn

Created with Midjourney There have never been so many free resources online to learn technical subjects. Do you want to learn Python? There are thousands of tutorials on YoutubeDo you want to practice SQL? You can google SQL exercises with solutions Do you want to learn statistics? Khan Academy has many lectures you need for data