Helping data analysts use the Credmark Model Framework

Using R and Python to scrape, pre-process, wrangle and visualize data.

Using R and Python to read, pre-process, wrangle and visualize data.

Using Python and R to read, pre-process, wrangle and visualize data.

An overview of Gradient Descent

An overview of statistical Hypothesis Testing, Estimation and Bayesian Inference

Learning Statistics and Probability Concepts through Code Snippets

Gaining an intuition for probability using Python

Building tools to describe a data and find relationships

Building tools for working with vectors and matrices from scratch

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