Data Science Project | Machine Learning Project | Real Estate Price Prediction - Machine Learning & Data Science Project - 5 : Model Building (Real Estate Price Prediction Project)

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What you'll learn

This course includes

2 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

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Full Transcript

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 Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses. Next Video: Data Science Project - 6: Python Flask Server (Real Estate Price Prediction Project) https://www.youtube.com/watch?v=Q5JyawS8f5Q&list=PLeo1K3hjS3uu7clOTtwsp94PcHbzqpAdg&index=6 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=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0&index=1 Jupyter Notebook: https://www.youtube.com/watch?v=q_BzsPxwLOE&list=PLeo1K3hjS3uuZPwzACannnFSn9qHn8to8 Code: https://github.com/codebasics/py/blob/master/DataScience/BangloreHomePrices/model/banglore_home_prices_final.ipynb Parent Code Repository: https://github.com/codebasics/py/tree/master/DataScience/BangloreHomePrices Website: https://codebasics.io/ Facebook: https://www.facebook.com/codebasicshub Twitter: https://twitter.com/codebasicshub