Attribution: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition, by Aurelien Geron (O'Reilly). Copyright 2019 Kiwisoft S.A.S, 978-1-492-03264-9
Machine Learning Practice. Implimenting the project following the Chapter-2 project on O'REILLY's Hands-On Machine Learning.
Goal: Predict the unit price for a Airbnb post, given all the other metrics. Predict NYC Airbnb Rental Prices
Approach:
- Supervised Learning task, because given labeled traning examples (each instance comes with expected output, i.e. unit's price).
- Regression task, since we need to predict a value.
- Multiple regression problem since the system will use multiple features to make a prediction.
- Univariate regression problem since we are only trying to predict a single value for each unit.
- There is no continuous flow of data, no need to adjust to changing data, and the data is small enough to fit in memmory: Batch Learning
Possible Performance Measure: Root Mean Square Error (RMSE), and Mean Absolute Error (MAE).
Data: New York City Airbnb Open Data | Kaggle
Project Author: Maksim Ekin Eren