{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/da1101a3f0464524ae40757e5093c7c6\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/da1101a3f0464524ae40757e5093c7c6-869c7445ed436d4e.gif","duration":235.823,"title":"Predicting Automotive Sales with Machine Learning 🚗","description":"In this video, I discuss our final group project where we developed a machine learning model to predict top-selling car models in the automotive industry. We trained our model on a dataset covering two years of sales data from 2022 to 2024, incorporating features like fuel economy and family size to enhance realism. After testing various classifiers, we selected Gradient Boosting Machine (GBM) for its superior accuracy. If we had more time, we would utilize real-world data sources to improve our predictions further. I encourage viewers to consider how these insights can drive inventory decisions and ultimately boost sales."}