Tuesday September 26th 2017

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‘Principal Component Analysis / Factor Analysis’ Archives

Pre-Modeling: Data Preprocessing and Feature Exploration in Python

Pre-Modeling: Data Preprocessing and Feature Exploration in Python

In my recent seach on building dummy variables for a loan dataset which I downloaded from kaggle I came across this tutorial on Data preprocessing and feature exploration - step critical building machine learning models models. Though there are still more information I am searching on creating dummy variable, however I like the way presenter [...]

When Principal Component Analysis makes sense in business analytics

When Principal Component Analysis makes sense in business analytics

What does that mean from a business analytics point of view? Let us assume that we have a dataset with M parameters (or variables). These could be for example, commodity prices, weekly sales figures, number of hours spent by assembly line workers; in short any business parameter that can have an impact on the performance. The question that PCA [...]

Principal Component Analysis with Rapid Miner

Principal Component Analysis with Rapid Miner

I read Principal Component Analysis topic from variety of sources and found to be overly complicated. Eventually came across this resource, this provided an easy to do exercises in Rapid Miner on the Principal Component Analysis. In part 1 they started off with a brief introduction into principal component analysis (PCA) and its application [...]

Factor Analysis

Factor Analysis

This video provides an introduction to factor analysis, and explains why this technique is often used in the social sciences. Great Explaination! There is complete play list on this topic which I found to be very helpful. Here