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This repository contains a machine learning project for predicting house prices using various regression models.

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jash0803/Property_Acquisition_Cost_Predictor

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Property Acquisition Cost Predictor

I took the dataset from Kaggle: https://www.kaggle.com/datasets/yasserh/housing-prices-dataset/data

Highlights of this project:

  1. Exploratory Data Analysis
    a. Histogram
    b. Heatmap

  2. Feature Engineering
    a. Ordinal Encoding
    b. Label Encoding
    c. Dimensionality reduction using principal component analysis (a.k.a. PCA)
    d. Scaling

  3. Model Training & HyperParameter Tuning
    a. Linear Regression
    b. Random Forest Regressor
    c. XGBoost Regressor

  4. Model Evaluation
    a. R-squared error(R2)
    b. Mean Squared Error(MSE)
    c. Mean Absolute Error(MAE)

  5. Model Deployment
    a. Pickle library for saving the model
    b. Streamlit Framework for creating web app

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This repository contains a machine learning project for predicting house prices using various regression models.

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