Linear Classification
We can also use linear models for classification purposes. Find out how in this workshop.
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Regression: Dealing With Outliers
This workshop describes how you can perform regression when you are plagued by outliers.
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.
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