#Roc-curve
Showing 4 of 4 repositories tagged #roc-curve, ranked by stars
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
Measure and visualize machine learning model performance without the usual boilerplate.
Detect and classify fraudulent transactions using SQL and Python. Generate behavioral features with SQLite, train a Logistic Regression model, and evaluate performance with AUC, precision, recall, and ROC analysis. A complete supervised fraud detection workflow.
Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behavior with interactive Power BI visualizations. Empower your decision-making process with data-driven strategies and improve customer retention.