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Exploratory data analysis and modelling for a dataset that contains questions that couples who got divorced and stayed together answered using Python, pandas, pandas profiling and Scikit learn.
The purpose is to understand whether it is possible to predict the risk of an accident based on the historical data of one of the regions. The project implemented an analysis of the main factors of an accident using SQL, LightGBM, Seaborn, Matplotlib, etc.