Introduction (Real Estate Price Prediction Project)


This data science project series walks through step by step process of how to build a real estate price prediction website. We will first build a model using sklearn and linear regression using banglore home prices dataset from kaggle.com. Second step would be to write a python flask server that uses the saved model to serve http requests. Third component is the website built in html, css and javascript that allows user to enter home square ft area, bedrooms etc and it will call python flask server to retrieve the predicted price. During model building we will cover almost all data science concepts such as data load and cleaning, outlier detection and removal, feature engineering, dimensionality reduction, gridsearchcv for hyperparameter tunning, k fold cross validation etc. Technology and tools wise this project covers, 1) Python 2) Numpy and Pandas for data cleaning 3) Matplotlib for data visualization 4) Sklearn for model building 5) Jupyter notebook, visual studio code and pycharm as IDE 6) Python flask for http server 7) HTML/CSS/Javascript for UI

Next video: Data Science Project - 2 : Data Cleaning (Real Estate Price Prediction Project): https://www.youtube.com/watch?v=_drqJ9SFCgU&list=PLeo1K3hjS3uu7clOTtwsp94PcHbzqpAdg&index=2

Popular Playlist: Data Science Full Course: https://www.youtube.com/playlist?list=PLeo1K3hjS3us_ELKYSj_Fth2tIEkdKXvV

Data Science Project: https://www.youtube.com/watch?v=rdfbcdP75KI&list=PLeo1K3hjS3uu7clOTtwsp94PcHbzqpAdg

Machine learning tutorials: https://www.youtube.com/watch?v=gmvvaobm7eQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw

Pandas: https://www.youtube.com/watch?v=CmorAWRsCAw&list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy

matplotlib: https://www.youtube.com/watch?v=qqwf4Vuj8oM&list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl

Python: https://www.youtube.com/watch?v=eykoKxsYtow&list=PLeo1K3hjS3usILfyvQlvUBokXkHPSve6S

Jupyter Notebook: https://www.youtube.com/watch?v=q_BzsPxwLOE&list=PLeo1K3hjS3uuZPwzACannnFSn9qHn8to8

Here is the link of code repository: https://github.com/codebasics/py/tree/master/DataScience/BangloreHomePrices Website: http://codebasicshub.com/ Facebook: https://www.facebook.com/codebasicshub Twitter: https://twitter.com/codebasicshub Patreon: https://www.patreon.com/codebasics