Lets have a quick look at using Principal component analysis (PCA) an the Iris dataset. What is PCA? The simpilistic way to describe PCA is

## PCA in Python with SciKit Learn

Lets have a quick look at using Principal component analysis (PCA) an the Iris dataset. What is PCA? The simpilistic way to describe PCA is

## Outlier removal in Python using IQR rule

My previous post ‘Outlier removal in R using IQR rule‘ has been one of the most visited posts on here. So now lets have a

## Titanic 3 – Model Model Evaulation

This part directly follows on from the Titanic Logistic Regression model we built, so you need to work through that part. NOTE: You should put

## Titanic 2 – Logistic Regression

So now we have cleaned the data as outlined previously we can now build our first model. Here we are going to develop a logistic

## Titanic 1 – Data Exploration

In this section we are going to explore the dataset. This is an important step in the statistical/machine learning process as firstly we need to

## Titanic Project

Here we look at different predictive models using Python for data science and machine learning. The aim is to run through some different methods to