Complete R Video Tutorial

Complete List of various topics in R

Parag Verma

Complete list of all the blogs is given below.For convenience, I have grouped it based on logical topics.

Setting R and Installing Packages

• Install R and RStudio on Windows machine
• Set Working Directory
• Install Multiple Packages at once

Introduction to Data Structures

• Vectors and Matrices
• Introduction to List, Initialization, access elements and some tips
• Basics of a Data Frame in R
• Vectorized Operation vs Loop Operation
• Cyclicity Property of Vector Operation
• Arithmetic and Relational Operators
• Logical Operators
• For Loops
• Accessing different values in a Vector
• Handling NA Values
• Missing Values | NA | NULL Values Imputation
• Creating Functions
• Handling variable number of argument in a Functions
• Read and Write files
• Read and Write huge dataset:fread and fwrite
• Create variables using ifelse
• Nested ifelse statement
• simple if else statement
• Default condition in if else statement

Introduction to dplyr

• Introduction to dplyr in R Part 1
• Introduction to dplyr in R Part 2
• Obamacare Case Study in dplyr Part 1
• Obamacare Case Study in dplyr Part 2
• Obamacare Case Study in dplyr Part 3
• Joins using dplyr Part 1
• Join on multiple keys using dplyr Part 2

Introduction to apply family of functions

• Introduction to apply family of function lapply and sapply Part 1
• Read all csv files from a folder using lapply
• Frequency Profiling using lapply
• Get Data Type of all variables in a Data Frame using lapply sapply
• Read all sheets of an excel file using lapply
• Factor to character data type using sapply

Pivoting and Unpivoting

• Pivoting Using Spread Function
• Pivoting Using Spread Function-Things to note Part 1
• Pivoting Using Spread Function-Things to note Part 2
• Unpivoting Using gather Function

dplyr tricks

• Rename a single column

• Rename multiple columns

• Replace NA values with column mean

• Replace NA values with column mode for a categorical variable

• Cumulative Sum

• Cumulative Sum in Groupby condition

• Min and Max Value within groupby

• Row Number with Min and Max Value within groupby

• Get the sum of rows in a data frame

• Get the mean of each column

• Create multiple summaries for numeric variables

• Introduction to tidyverse

• Convert categorical to numeric while importing csv into R

• Concatenate multiple columns using tidyverse

string text manipulation

• Splitting a string and match pattern using stringr and tidyverse
• Detect pattern in a string using tidyverse
• Get the position of matched pattern in a string using tidyverse
• Replace a pattern in a string using gsub function and tidyverse
• Absolute and Approx match within a string using tidyverse
• Extract digits from text field using tidyverse
• purrr vs Base R functionality:Reddit post analyses
• Data table performance on Million Records
• Create multiple summaries for numeric variables

Advanced Models and ML Concepts

• Hyperparameter tuning of a Model
• Overview of K-Fold Cross Validation
• Hyper Parameter Tuning of a Random Forest in R
• Significant Improvement in Accuracy after Hyper Parameter Tuning

Anomaly Detection Models

• What is an Anomaly
• Application and Use Cases
• Type of ML Models used in Anomaly Detection
• Anomaly detection for Categorical Data
• Anomaly detection for Data with multiple categorical columns
• Create Code in R for Categorical Data
• Applying the algorithm on million records
• Anomaly detection for Numeric Data
• Excel working example
• Create Code in R for Numeric Data
• Applying Anomaly Detection on Numeric Dataset
• Introduction to Isolation Forest

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