https://github.com/poltanek/house-value-estimator

I will be using the House Sales in King County, USA dataset. I will try to train a model to predict the price of a house given information about it, like the number of rooms.
https://github.com/poltanek/house-value-estimator

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I will be using the House Sales in King County, USA dataset. I will try to train a model to predict the price of a house given information about it, like the number of rooms.

• Host: GitHub
• URL: https://github.com/poltanek/house-value-estimator
• Owner: Poltanek
• License: mit
• Created: 2024-11-25T15:12:04.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2024-11-30T17:28:58.000Z (about 1 month ago)
• Last Synced: 2024-11-30T18:29:21.845Z (about 1 month ago)
• Language: Jupyter Notebook
• Size: 28.3 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        

# House Sales Prediction and Classification

# House-Value-Estimator

I will be using the House Sales in King County, USA dataset. I will try to train a model to predict the price of a house given information about it, like the number of rooms.

## Dataset

Source: https://www.kaggle.com/datasets/harlfoxem/housesalesprediction/data

Contains house sale prices and related attributes, such as bedrooms, bathrooms, square footage, etc.

# ML Workflow

## Data Loading

- Used ```pandas``` to load dataset (```kc_house_data.csv```)

- Verified data integrity by displaying a few rows

## Feature Selection

Target: ```price```

Selected Features include: ```Bedrooms```, ```Bathrooms```, ```sqft_living```, ```sqft_lot```, ```floors```, ```grade``` and etc

Data Splitting

- Split the data into training 75% and test 25% sets using ```train_test_split```.

Linear Regression 

- Model Linear Regression ```sklearn```

Evluation Metrics:

- Mean Squared Error (MSE): ~48.56B

- R^2 Score: ~0.65