The house price was estimated based on the user's choices. Xgboost was used for training the model and Streamlit was used for deployment.
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Updated
Jun 29, 2022 - Python
The house price was estimated based on the user's choices. Xgboost was used for training the model and Streamlit was used for deployment.
A comprehensive suite of Python-based machine learning models for predictive analytics, employing different evolutionary algorithms for data analysis across various topics.
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