{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d4cd5c04379e4472a57fdf2ea78e5a19\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d4cd5c04379e4472a57fdf2ea78e5a19-ae65cf862fc0a2f5.gif","duration":150.9615,"title":"Predicting Rental Apartment Prices in Israel Using Machine Learning 🏡","description":"In this video, I present my project on predicting rental apartment prices in Israel using real market data. I analyzed the rental market and user needs, parsed data from Yachtstein, and built a relational database with 19 linked tables for scalability. After testing several machine learning models, I found that PadBoost provided the best accuracy for predictions. I also developed a Telegram bot with GeoIP functionality, allowing users to get predictions based on their location. I encourage viewers to explore the dashboard I created to visualize prices and trends."}