/exploringML

Using Machine Learning Algorithms to predict the median cost of housing in San-Francisco

Primary LanguageJupyter Notebook

exploringML

Using Machine Learning Algorithms to predict the median cost of housing in San-Francisco

In this notebook, I implement a Machine Learning Pipeline to extract, pre-process and transform data on houses in San-Francisco before implementing 3 different ML agorithms on them.

Algorithms Implemented

  1. Linear Regression
  2. Random Forests
  3. Decision Trees

By using cross validation, we discover that the Random Forests algorithm performs best for this dataset