Machine Learning - 2. Multivariate Logistic Regression | Logistic Regression Solved Example ML by vidya Mahesh Huddar

2. Multivariate Logistic Regression | Logistic Regression Solved Example Machine Learning by vidya Mahesh Huddar Logistic Regression Algorithm: https://youtu.be/2C8IqOLO1os Logistic Regression Applications Advantages Linear Regression vs Logistic Regression: https://youtu.be/mh61cva4tPI Logistic Regression Solved Numerical Example 1: https://youtu.be/UCOm-LFKX9E Logistic Regression Solved Numerical Example 2: https://youtu.be/tGhFUIVGAg0 Construct a logistic regression model with two predictors for the riding mower example with 𝛽0=−25.9382, 𝛽1=0.1109, 𝛽2=0.9638 , where 𝛽1 and 𝛽2 are for the "Income" and "Lot_Size" variables, respectively. Using the logistic regression model with probability cutoff 0.75, classify the following 6 customers as "Owner" or "Nonowner" Present the results in a classification matrix Cust Income Lot_Size Ownership 1 60 18.4 Owner 2 60.4 21.6 Owner 3 84 17.6 Non-Owner 4 59.4 16 Non-Owner 5 108 17.6 Owner 6 75 19.6 Non-Owner Logistic Regression is a supervised machine learning algorithm used for classification tasks. It predicts the probability that a given input belongs to a particular class. ******************************** 1. Blog / Website: https://www.vtupulse.com/ 2. Like Facebook Page: https://www.facebook.com/VTUPulse 3. Follow us on Instagram: https://www.instagram.com/vtupulse/ 4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates