Introduction to Machine Learning

Machine learning is defined as the use and development of computer systems that are able to learn and adapt without following explicit instructions, by using algorithms and statistical models to analyse and draw inferences from patterns in data.

full notebook

This results in the ability to vastly reduce the amount of work one may spend on a forecast, budget or any other assumption and at the same time dramatically increase its accuracy.

We can apply machine learning to our datasets in order to gain invaluable insights and predictions about the London Housing Market.

Models

Models were completed in the order displayed

Prophet model

Facebook’s time series forecasting tool

GIF

Storytelling using the GIF Library

Processing: Monthly

Preparing monthly data for our models

Model: Monthly

Monthly Data with few variables

Processing: Annual

Preparing annual data for our models

Model: Annual

Annual Data with many variables

Random Forests

A brief look at Random Forests

Neural Nets

Recreating a human brain

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