Dive into the world of Julia programming for machine learning with this comprehensive tutorial series. Begin by exploring the fundamentals of Julia as a powerful language for ML applications. Learn how to install Julia and set up a Jupyter Notebook environment for seamless coding. Master essential Julia basics, including string manipulation, numerical operations, and proper commenting techniques. Delve deeper into Julia's data science capabilities, focusing on advanced string handling and in-depth function usage. Gain practical skills to leverage Julia's efficiency and performance in your machine learning projects.
Overview
Syllabus
Tutorial 1- Introduction To Julia Programming Language For Machine Learning.
Tutorial 2- Installing Julia And Running In Jupyter Notebook.
Tutorial 3- Julia Basics-Strings And Numerical Operations, Commenting.
Tutorial 4- Julia For Data Science-String In Julia Along With Indepth Functions.
Taught by
Krish Naik
