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R Programming for Complete Data Science and Machine Learning

R Programming including Supervised and Unsupervised Machine Learning Algorithms.
(1 reviews)
6 students
Created by


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Platform: Udemy
Video: 10h 7m
Language: English
Next start: On Demand

Table of contents


The whole journey of the course is all about R Programming first, then Machine Learning including the concept of Data Science using R programming. Flexibility and ease are the desire of every Data Scientist or machine learning expert, but because of steep learning, student get tired and overwhelmed. The journey of machine learning especially got confused due to Math and Statistics behand!
The Course designed is such a way, that will be useful for all level specially student who are learning and under working on it.
This separate session in Module I is all about R programming including Theoretical and Practical work using R Studio IDE, whereas in Module II, the individually session of supervised and unsupervised machine learning algorithm will be discussed. The discussion of each session based on live and real life example and dataset to make you understand in better way.
The Course has Two Module, in Module-I you will learn:
What is R, Installation, HELLO WORLD!
Variable and Data types
Operators in R
Data Structure
Atomic vector All Operations
List   All Operations
Array   All Operations
Matrices   All Operations
Data Frame   All Operations
Factors   All Operations
Control structures (if statements / Family)
Switch statements
Loops (For, while, repeat)
Jump Statements
Functions & Types
Data Visualization
Advance Data Visualization using ggplot2.
In Module-II you will learn:
Machine Learning Introduction and Dataset
Linear Regression
Multiple Linear Regression
Polynomial Regression
Support Vector Regression
Logistic Regression
Support Vector Classification
K Nearest Neighbors Classification
Hierarchical Clustering Algorithm
K Means Clustering Algorithm
Apriori Algorithm
Eclat Algorithm
F-P Growth Algorithm

In Final words, the Couse is useful for all skill level, even you do not know about any programming language and Statistics behand it.
Now, I will be very excised to see you in the course.
Fahad Hussain

You will learn

✓ Understanding R programming and Why R.
✓ Variable, Literal and Different types of Operator.
✓ Understanding Data Structure eg: Atomic vector, List Array, Matrices, Data Frame, Factors with all Operations.
✓ Practical work on Control structures (if statements / Family), Switch statements, Loops (For, while, repeat) Jump Statements and with Functions and its types
✓ Live work on Data Visualization all types (which professionally used) including the Advance Data Visualization using ggplot2 R package.
✓ Understand Machine Learning and types.
✓ Making clear picture on Data and types of quantitative and qualitative data and Data set.
✓ Work on regression and its types Linear Regression, Multiple Linear Regression, Polynomial Regression and Support Vector Regression.
✓ Work on Classification and its types Logistic Regression Support Vector Classification K Nearest Neighbors.
✓ Work on Clustering and its types Hierarchical Clustering and K Means Clustering.
✓ Work on Assoication and its types Apriori Eclat and F-P Growth Algorithm.


• Access of Computer or Laptop.
• Basic understating about Computer Hardware and Software.

This course is for

• This course is for who want to learn how to program in R with real life examples.
• This course is for who are tired of R courses that are too complicated as first programming language.
• This course is for who want to learn R with Machine Learning and Data Science concept together.
• This course is for, if you like exciting challenges of professional work .
Artificial Intelligence Engineer and Researcher.
Hi, this is Fahad Hussain. Professionally, Artificial Intelligence Engineer and Researcher.
I have been teaching A.I specially Data Science, Machine Learning and Deep Learning including researching for 08 years. Intentionally I am always ready to make difficult things easy by using different techniques and creativity.
The course which I have design that is for all level specially for student and professional who want to emboss their knowledge with practical work. Literally I am really passionate in the field of Artificial Intelligence specially Data Science, Machine Learning and Deep Learning and willing to explore its essence to everyone by my course’s.
To sum up, showing my intention I want your intention for the course, to find the right path in the field of practical and research.
Platform: Udemy
Video: 10h 7m
Language: English
Next start: On Demand

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