Customer Churn Prediction and Model Comparison is a telecom customer churn project using Python, pandas, scikit-learn, XGBoost and imbalanced-learn. It covers data validation, preprocessing, feature ...

Few directors close the divide between the art film and the blockbuster like Christopher Nolan. By Manohla Dargis They say that you can’t go home again; in this movie, a young filmmaker learns that ...

We build a Gin Config controlled PyTorch pipeline where the training code stays fixed and the experiment variables move into .gin files. We construct a nonlinear spiral binary classification task and ...

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