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.
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Chapters:
00:00 Introduction
00:20 Data Card
02:16 Data Science Project
31:12 Outro
Watch video End-to-End Data Science Project: Building a Real Estate Price Predictor with ML and Streamlit online without registration, duration 31 minute 27 second in high hd quality. This video was added by user Onur's Data Science Academy 31 August 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 1 thousand once and liked it 42 people.