Lec-5: Logistic Regression with Simplest & Easiest Example | Machine Learning скачать в хорошем качестве

Lec-5: Logistic Regression with Simplest & Easiest Example | Machine Learning

Logistic Regression is a powerful algorithm used for binary classification tasks, where the goal is to predict one of two possible outcomes. It transforms linear output into probabilities, making it ideal for problems like spam detection and disease diagnosis. In this video, we’ll explore the basics of Logistic Regression and demonstrate how to apply it to classification problems. 00:00 – Logistic regression 03:08 -- Sigmoid Function 👉Subscribe to our new channel:   / @varunainashots   Subject-wise playlist Links: -------------------------------------------------------------------------------------------------------------------------------------- ► Operating System :    • Operating System (Complete Playlist)   ►Database Management System:    • DBMS (Database Management system) Com...   ► Theory of Computation    • TOC(Theory of Computation)   ►Data Structure :    • Data Structure   ►Computer Networks (Complete Playlist):    • Computer Networks (Complete Playlist)   ►Computer Architecture (Complete Playlist):    • Computer Organization and Architectur...   ►Structured Query Language (SQL):    • Structured Query Language (SQL)   ►Discrete Mathematics:    • Discrete Mathematics   ►Artificial Intelligence (Complete Playlist):    • Artificial Intelligence (Complete Pla...   ►Compiler Design:    • Compiler Design (Complete Playlist)   ►Number System:    • Number system   ►Cloud Computing & BIG Data:    • Cloud Computing (Complete Course)   ►Software Engineering:    • Software Engineering   ►Design and Analysis of algorithms (DAA) (Complete Playlist):    • Design and Analysis of algorithms (DAA)   ►Graph Theory:    • Graph Theory   ►Programming in C:    • C Programming   ►Digital Logic:    • Digital Logic (Complete Playlist)   --------------------------------------------------------------------------------------------------------------------------------------- Our social media Links: ► Subscribe to us on YouTube:    / gatesmashers   ►Subscribe to our new channel:    / @varunainashots   ► Like our page on Facebook:   / gatesmashers   ► Follow us on Instagram:   / gate.smashers   ► Follow us on Instagram:   / varunainashots   ► Follow us on Telegram: https://t.me/gatesmashersofficial ► Follow us on Threads: https://www.threads.net/@gate.smashers -------------------------------------------------------------------------------------------------------------------------------------- ►For Any Query, Suggestion or notes contribution: Email us at: [email protected]