In this video, I guide you through a complete data science project where I build a real estate price predictor using Python and Streamlit. I start by cleaning and analyzing real estate data, then visualize key insights to understand pricing trends. I dive into feature engineering to enhance model performance and demonstrate how to create a user-friendly Streamlit web app for predicting house prices. This tutorial is perfect for anyone interested in data science, machine learning, and real estate analytics.Thanks for watching my video. I share new Data Science videos weekly, you can subscribe for more videos like this.
Dataset Link (Same dataset, older version is removed only CSV file name is different):
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Chapters:
00:00 Introduction
00:20 Data Card
02:16 Data Science Project
31:12 Outro