Compressing Feature Space For Classification Using PCA
In this project we use Principal Component Analysis (PCA) to compress 100 unlabelled, sparse features into a more manageable number ...
In this project we use Principal Component Analysis (PCA) to compress 100 unlabelled, sparse features into a more manageable number ...
In this project we use k-means clustering to segment up the customer base in order to increase business understanding, and to enhanc...
In this project we apply Chi-Square Test For Independence (a Hypothesis Test) to assess the performance of two types of mailers that...
In this post I’m going to run through a function in Python that can quickly find all the Prime numbers below a given value. For exa...
In this project we use Causal Impact Analysis to analyse & understand the sales uplift of customers that joined the new “Deliver...
Our client, a grocery retailer, wants to utilise Machine Learning to reduce mailing costs, and improve ROI! Table of contents 0...