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
Regression
Linear Regression
Multiple Linear Regression
Polynomial Regression
Support Vector Regression
Classification
Logistic Regression
Support Vector Classification
K Nearest Neighbors Classification
Clustering
Hierarchical Clustering Algorithm
K Means Clustering Algorithm
Association
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.
Regards,
Fahad Hussain
