Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 50 Minute(s)
Language
English
Taught by
Ankit Mistry : 200,000+ Students, Data Science & Machine Learning Academy
Rating
2 views
Course Overview
Learn power of Julia High performace programming for Data Science and Machine Learning with nearly C like Performace
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
Course Content
- 10 section(s)
- 37 lecture(s)
- Section 1 Introduction
- Section 2 Julia Code
- Section 3 Julia Basics
- Section 4 Data Structure
- Section 5 Control Flow
- Section 6 More on Julia
- Section 7 Vector & Matrix Processing
- Section 8 Data analysis with Dataframes
- Section 9 Data Visualization
- Section 10 Regression
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)
Skills covered in this course
Reviews
-
JJosé Abraham Romero Díaz
El curso es ágil y objetivo en su contenido
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SSébastien Picard
The course is well explained but quite superficial, there isn't even a use case about machine learning (how to do regression or classification on unseen data). So it's better to change the title to "introduction to Julia programming"
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DDavid Mayor Tonda
The explanations are good, but the course is too old. Many functions and commands do not work anymore and you need to search for the new versions. Some commands and functions are being used but not explained and I miss deeper description on why some actions are being done . The part of the basics is too short and from my point of view it could be removed and more machine learning should be introduced. I miss other algorithms like Random Forests or Neuronal Networks.
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IIulian Bacalu
Very thick accent and barely brushes ML. It's also outdated and some commands don't work. Creator should keep his course up-to date if he still wants to make money out of it.
