25 pages of only what you need to know, shown in visualizations.
A code repository to get you started with Streamlit really fast.
Most commonly used Pandas functions and their descriptions.
Descriptions of all hyperparameters of a neural network.
This is a start-to-finish guided project course.
As you go through the course, you build a data science project and at the end of the course, you will have a portfolio-worthy project to share with the world, already on your GitHub account, all ready to present!
Deep Learning 101 will teach you all the essentials of deep learning without wasting your time.
After months of research and combing through many online courses, books and blog posts on the topic, I brought together a comprehensive and distilled guide to deep neural networks.
This course is prepared to act as a guide to aspiring data scientists during the first steps of their journey. The goal of the course is to help you identify clear goals and stay focused when learning data science. There are three modules in the course: