Julia Programming For Data Science & Machine Learning: Julia

Overview

Learn power of Julia High performace programming for Data Science and Machine Learning with nearly C like Performace

What you'll learn:

update your resume with Julia Skill
Learn Julia programming constructs
Julia installation with Jupyter notebook
Julia basics variable numbers and string
Managing Third Party Package in Julia
Learn different Julia collection array, dictionary and tuples & Operations
Apply Julia Function for vector and matrix Operations
Analyse Data with Julia Dataframes package equivalent to pandas in Python
Draw plot with plots module in julia
Sale Prediction using Linear Regression on Sales Data with GLM Package
Predict Salary using Multiple Linear Regression on Salary Data
Logistic Regression on camera data with Julia GLM
Cluster Data with K-Means clustering algorithm (Clustering)
Reduce Dimension of iris Dataset with PCA (MultivariateStats package)

Do you like Python, you enjoy writing python code. It's very easy to code in python. But python is slow. So production require very high performance computing.

So we need a language which is easy to work like python and as fast as low level programming language like C.

Julia is the programming language which looks like Python and execute like C.

If you want to learn next generation fast scientific computing language and easy to work with Julia is the right solution for you and you have come at a right place to learn the Julia.

This course mainly focus on data science aspect of Julia. Although I am going to start with Julia introduction installation and major basic concepts related to Julia.

Following topics we are going to cover in this course.