UNIT-1 Basic Steps to built ML Model

Case Study based assignment- Follow the basic steps in creating the ML model Face Recognition Medical Imaging Credit Card Fraud detection system Predictive Maintenance System Market Basket Analysis Health care system Weather Prediction Cricket Score Prediction

2.CASE STUDY ON SUPPORT VECTOR MACHINE

A case study on Support Vector Machines (SVM) can delve into practical applications and theoretical insights of this powerful machine learning algorithm.

Case Study on Optimizing Classification Accur

This case study explores how the Random Forest algorithm enhances classification accuracy by combining multiple decision trees to reduce overfitting and improve predictive performance. It focuses on tuning hyperparameters, analyzing feature importance, and comparing Random Forest with other machine learning models to optimize results.

Customer Segmentation using K-Means Clusterin

This case study explores how K-Means clustering is applied to segment customers based on behavioral and demographic data. By identifying distinct customer groups, businesses can tailor marketing strategies, improve customer targeting, and enhance overall service offerings.