Welcome to the final part of the project series “Apartment Pricing: Advanced Regression Techniques.”
I highly recommend visiting previous posts in this series:
- Part 1: Apartment Pricing: Advance Regression Techniques (notebook)
- Part 2: Apartment Pricing: Data Visualization & Exploratory Analysis (notebook)
You can find all the working shown in this series at my GitHub repository here.
Introduction
So, this is all we’ve been building up to, Predicting prices.
To reach this stage, we covered the following stages of a data science project lifecycle:
- Business Understanding
- Data Acquisition
- Data Preparation
- Data Visualization & Exploratory Analysis
In the final part of the series, we will see how we can:
- Final tuning of our dataset
- Divide our dataset into training and testing samples
- Training our machine learning models
- Testing those models
- Output our results
