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Julia Programming For Data Science & Machine Learning: Julia
Rating: 4.3 out of 5(213 ratings)
2,118 students

Julia Programming For Data Science & Machine Learning: Julia

Learn power of Julia High performace programming for Data Science and Machine Learning with nearly C like Performace
Created byAnkit Mistry : 200,000+ Students, Data Science & Machine Learning Academy
Last updated 12/2024
English

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)

Course content

14 sections • 37 lectures • 3h 50m total length

  • Introduction to Julia4:43

    Julia delivers Python-like ease and C-like speed for data science and machine learning, with open source packages and parallel computing.

  • Course - FAQ0:22
  • Review1:26
  • Installation Instruction1:55

    Learn how to install Julia on Windows and Linux, download from julialang.org/download, and install IJulia for Jupyter notebook to use as the IDE throughout the course.

  • Install Julia (Windows)5:02
  • Install Julia (Linux)4:49
  • Installation issue2:42
  • Getting started Julia with Jupyter Notebook2:27
  • Join Online Classroom0:14

Requirements

  • High school mathematics

Description

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.

  • Introduction to Julia and installation

  • Julia basics number variable send string

  • Julia collections, dictionary, sets and tuples.

  • Julia package management system and creating function in Julia

  • Vector and matrix related operation in Julia

  • Linear algebra with Julia

  • Data frame package

  • And plotting with plots package in Julia

  • Linear and Multiple Regression with GLM package

Udemy consider 30 days money back guarantee, so no need to worry about anything.

Get it enrolled in the course.

And I will see you inside the course.

Happy learning

Ankit mistry

Who this course is for:

  • Anyone who want to learn next generation language : Julia
  • Anyone who want to learn fast language like c and easy language like python
  • Any developer who want learn Data Science with julia

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