This notebook explores the housing dataset from Kaggle to predict Sales Prices of housing using advanced regression techniques such as feature engineering and gradient boosting.
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Updated
Jun 3, 2021 - Jupyter Notebook
This notebook explores the housing dataset from Kaggle to predict Sales Prices of housing using advanced regression techniques such as feature engineering and gradient boosting.
This repository hosts a machine learning-based mushroom identification system, utilizing scikit-learn models in a Jupyter notebook. The project analyzes and processes a Kaggle dataset to train a model that classifies mushrooms as edible or poisonous, providing a reliable tool for mushroom enthusiasts and foragers.
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