GitHub - HAPPYCODER505/HOUSE_PRICE-_PREDICTOR_MODEL-ML: The main goal of this model is to determine the correct price of houses using machine learning algorithm . I used a data-set called housing.csv from Kaggle to create it.Python libraries like nampi, pandas, seaborn, sklearn, pickle, streamlit etc. are used to build it.

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The main goal of this model is to determine the correct price of houses using machine learning algorithm . I used a data-set called housing.csv from Kaggle to create it.Python libraries like nampi, pandas, seaborn, sklearn, pickle, streamlit etc. are used to build it.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Housing.csv		Housing.csv
ML_HOUSE_PRICE_PREDICTION_PROJECT.ipynb		ML_HOUSE_PRICE_PREDICTION_PROJECT.ipynb
df.pk		df.pk
pipe.pk		pipe.pk