When I'm not traveling I'm busy learning new skills to be a better data scientist. Until recently I've been using R primarily to do my data analysis/model, more data science work are moving to Python so I'm going to blog about my conversion from R to Python and latest to PySpark.
Principal Component Analysis (PCA) in R & Python
Multiple Linear Regression Statistical Inference and Assumptions in R
Linear Regression Statistical Inference and Assumptions in R
Advanced Graphics In R ggplot and Python seaborn
Data Aggregation like SQL in R, Python Pandas & PySpark DataFrame
String, datetime, file directory handling in R, Python, PySpark
Control and functions in R, Python Pandas, PySpark DataFrame
Data Manipulation in R, Python Pandas, PySpark DataFrame
Evaluate Relationship between Paired Data in R and Python Pandas
Visualizing Paired Data in R and Python Pandas
Visualizing a Single Variable in R and Python Pandas
Data Basics and Summary Statistics in R, Python Pandas, PySpark DataFrame