video1.0<iframe src="https://www.loom.com/embed/9ea9ffd6055345eeaa486fe96d9a0f30" frameborder="0" width="1386" height="1039" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>10391386Loomhttps://www.loom.com10391386https://cdn.loom.com/sessions/thumbnails/9ea9ffd6055345eeaa486fe96d9a0f30-1711202851172.gif171.6In this Loom, I introduce Łukasiewicz, a platform that allows you to quickly build machine learning models using tabular data. Simply drop a CSV file and within minutes, you'll have a fully fledged machine learning model ready to use. I explain the process of data pre-processing, model architecture selection, model training, and code writing. I also mention that the platform is still in the research and development phase, and I invite viewers to help improve the models by using the platform. At the end, I showcase the output of the model and mention the three files that are downloaded, including the Python code and the pickle file containing the model.