Real world example of tackling a prediction problem

📰 Medium · Machine Learning

Learn to tackle a real-world prediction problem using Airbnb dataset to predict the number of reviews per month for a listing

intermediate Published 16 Jun 2026

Action Steps

Explore the Airbnb dataset on Kaggle to understand the features and variables
Preprocess the data by handling missing values and encoding categorical features
Split the data into training and testing sets to evaluate the model's performance
Train a regression model using the training data to predict the number of reviews per month
Evaluate the model's performance using metrics such as mean squared error or R-squared

Who Needs to Know This

Data scientists and machine learning engineers can benefit from this example to improve their prediction modeling skills and apply them to real-world problems

Key Insight

💡 Using real-world datasets like Airbnb's can help improve prediction modeling skills and apply them to practical problems

Key Takeaways

Learn to tackle a real-world prediction problem using Airbnb dataset to predict the number of reviews per month for a listing

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Title: Real world example of tackling a prediction problem

URL Source: https://medium.com/@ajarodpaulson/real-world-example-of-tackling-a-prediction-problem-62ea3afa9668?source=rss------machine_learning-5

Published Time: 2026-06-16T17:36:16Z

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# Real world example of tackling a prediction problem

[![Image 2: Jarod Paulson](https://miro.medium.com/v2/da:true/resize:fill:32:32/0*ezF7IZuX5I1ylYfE)](https://medium.com/@ajarodpaulson?source=post_page---byline--62ea3afa9668---------------------------------------)

[Jarod Paulson](https://medium.com/@ajarodpaulson?source=post_page---byline--62ea3afa9668---------------------------------------)

4 min read

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Jun 16, 2026

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### Problem Description

I wanted to be able to predict the number of reviews per month that an arbitrary Airbnb listing is likely to get. To put this into some real-world context, perhaps I am thinking about listing a room in my house, and I want to be able to predict and influence how many reviews per month my listing will get.

### Dataset Description

The dataset can be observed [here](https://www.kaggle.com/datasets/dgomonov/new-york-city-airbnb-open-data). The dataset has a number of both categorical and numeric features, some o

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Real world example of tackling a prediction problem

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