Machines_Predict_PCA Applying PCA and Logistic Regression to data industrial machines to provide maintenance. Dataset: ficticius data sensors machine - 1000 rows with target. Pre-processing: StandScaler Find Most relevant variables: Principal component analysis (PCA) Model Prediction: Logistic Regression Cross Validation LeaveOneOut (LOOCV) Results Simulation:
