Binary Classification Explained | Logistic Regression vs Random Forest | Machine Learning скачать в хорошем качестве

Binary Classification Explained | Logistic Regression vs Random Forest | Machine Learning

Binary Classification is a fundamental concept in Machine Learning and Data Science. In this video, we explain Binary Classification using Logistic Regression and Random Forest with clear intuition, examples, and practical understanding. You’ll learn how Logistic Regression works for binary outcomes, how Random Forest improves performance using ensemble learning, and how these algorithms are applied in real-world ML projects and interviews. 📌 Complete Project Code (GitHub): https://github.com/GovindYadav16/PersonalLoan This repository contains the full implementation of binary classification on a personal loan dataset, including data preprocessing, model training, and evaluation. LinkedIn Profile https://www.linkedin.com/in/govind-yadav-3...