Project Portfolio

Building a Land Price Prediction Machine Learning app with Python and AWS Sagemaker – (Part 2)

In Part 1 of this article we successfully scraped the data we needed and in this Part 2 we are going to move on to the next steps in the Machine Learning Cycle, which is Exploratory Data Analysis. The full code on Github and the scraped dataset for this Part 2 can be found here. Let's dive straight with the exploratory data analysis. What to Expect from Exploratory Data Analysis There is some confusion out there whether to split the test and training dataset before doing EDA or not.I would say the problem comes when you go into too much detail during your EDA.

Project Portfolio

Building a Land Price Prediction Machine Learning app with Python and AWS Sagemaker – (Part 1)

Currently, I am preparing to sit in for the AWS Machine Learning Speciality Exam, and I know for such exams, the best way to prepare is to go quickly through the concepts (inhaling) and start building projects (exhaling). So I have decided to build a machine learning app using Python and AWS Sagemaker , which will predict land prices based on the specified neighborhood and the size of land required ,as inputs to the model. The goal is to use this project so together we walk through the machine learning lifecycle and also introduce you to the powerhouse of machine l