/Data-Science

Primary LanguageJupyter Notebook

 Real Estate price prediction
• Model using Sklearn and linear regression using house price dataset from kaggle.com • Implements Numpy and Pandas for data cleaning, Matplotlib for data visualization, Sklearn for model building, Jupyter notebook, visual studio code and pycharm as IDE, Python flask for http server and, HTML/CSS/JavaScript for UI.