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Natural Language Processing
Scraping Reviews
AirBNB
Amazon
Google
Microsoft
Microsoft: Time Series Analysis of Cons Reviews
Review Comparison
Exploratory Data Analysis
2017 H1B Visa Data: Overview
HR Analytics: Why Do Employees Leave?
Hospital Analytics: US Best Hospitals
IRS Data: Washington State Migration
Real Estate: Discovering Buyer Preferences
San Francisco Crime: The Least Family-Friendly District
Interactive Visualization
Hospital Analytics Interactive Visualization
H1B Data – Salary
Practical Machine Learning
HR Analytics: Who Is Next?
House Prices: How Much Should the Prices Be?
Machine Learning
Anova and Model Comparison
Fitting Classical Decision Tree
Fitting Conditional Inference Tree
Fitting kNN
Fitting Lasso Regression
Fitting Non-Linear Model: Polynomial
Fitting Principal Component Analysis
Fitting Ridge Regression
Fitting Support Vector Machine – Classification
Fitting Support Vector Machine – Regression
Cross-Validation: Random Selection
Cross-Validation: LOOCV
Cross-Validation: k-Folds
Gradient Descent
Model Selection: Best Subset Selection
Model Selection: Forward, Backward Selection
Multiple Regression Calculation
Polynomial
Stats: Covariance and Correlation
Stats: Mean, Variance, and Standard Deviation
Data Wrangling
& or &&
Adding a Cumulative Sum Column
Adding Leading and Trailing Character/Whitespace
Changing Column Names
Counting All Categorical Variables
Creating New Variables with ifelse()
Extracting Only Even/Odd Rows/Columns
Locating NAs
Missing Value Imputation
Removing Rows with NAs
Removing Leading/Trailing Whitespace
Removing Punctuation and Symbols
Reordering Columns
Reordering Factor Variables
Reshaping Long to Wide Format
Reshaping Wide to Long Format
Selecting Columns
source() function
Subtracting Value from a Previous Row
Text Counting
Using for loop with str_replace_all
Vlookup in R
Python = R
Cheat Sheet
Clearing Workspace
Head & Tail
Load CSV Files
Working with Directory
SQL
Common Table Expression
CREATE, INSERT, UPDATE, DELETE, and DROP
DISTINCT
EOMONTH
LAG and LEAD
LEFT and RIGHT
PARSENAME and REPLACE
RANK and DENSE_RANK
SELECT INTO
UNION and SORT BY
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Media Category: NLP - Google
3.) Cons
2.) Pros
