The repository contains the California House Prices Prediction Project implemented with Machine Learning. The app was deployed on the Flask server, implemented End-to-End by developing a front end to consume the Machine Learning model, and deployed in Azure, Google Cloud Platform, and Heroku. Refer to README.md for demo and application link
heroku
flask
data-science
machine-learning
azure
numpy
pandas-dataframe
sklearn
jupyter-notebook
bootstrap4
seaborn
javascript-library
artificial-intelligence
matplotlib
regression-models
hyperparameter-tuning
gridsearchcv
randomizedsearchcv
gcp-compute-engine
california-house-prices
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Updated
Aug 1, 2021 - Jupyter Notebook