This is a set of notes compiled during my data science learning journey.

Many times, I find myself attempting to search and answer the questions below during data collection, analysis and visualization.

• How do I perform (an action) in (a language)?
• I know how to implement (an action) in (language A), now how do I implement this in (language B)?

The same process repeats when I am implementing the action in another language. This set of notes thus attempts to be a cross reference between language implementations. At this stage, I will be compiling notes pertaining to R and Python.

The notes follow a certain format for each action:

1. How do I (action)?
2. Sample Implementation in R
3. Sample Implementation in Python

Initial collection includes:

• Linear Algebra
• Random Number Generation

Roadmap:

• Getting and Cleaning Data
• Data Manipulation
• Plotting graphs
• Statistical Functions
• Regression Models
• Machine Learning
• Natural Language Processing