Regression: Dealing With Outliers
This workshop describes how you can perform regression when you are plagued by outliers.
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Linear Regression
An introduction to regression with Python and SKLearn
Introduction to Gradient Descent
A Python workshop showing you why we need to optimise using gradient descent and provides a simple example.
Why Correlating Data is Bad and What to do About it
A Python Workshop explaining why correlating data is bad and what to do about it.
Introduction to Python and Jupyter Notebooks
A gentle introduction to Python and Jupyter Notebooks.
Information and Entropy
A Python Workshop introducing the concept of entropy.
Histograms and Skewed Data
A Python Workshop showing you how to create histograms and how to invert skewed data.
Entropy Based Feature Selection
A Python Workshop explaining and deriving a decision tree.
Data Cleaning Example - Loan Data
A Python Data Science Workshop providing an example of working with and cleaning loan data.
Root Cause Analysis: The 5-Whys
The 5-Whys is a simple technique to get to the root cause of a problem. Find out how it works.
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