ML Engineer|Computer Vision Intern at Cellula Technologies|Microsoft Data Engineer DEPI
Hello again with another Kaggle Notebook, I used the Bank Churn Data in the 2024 Kaggle Playground Series .The goal from the Notebook is to predict whether a customer continues with their account or closes it (e.g., churns). My approach for this Notebook :Data Exploration ,EDA on Discrete and continuous numerical features and categorical features ,and Use different performance metrics (Auc , Accuracy , F1 Scores) for choosing the best classification ml model with a 0.88297 public score. Hope You enjoy reading my Notebook and feel free to ask about any implementation in my work. https://lnkd.in/dsa9vQui #kaggle #dataanalysis #datascience #machinelearning
