Logistic Regression in Telecom

Logistic Regression in Telecom

Harness logistic regression to automatically classify network states and security threats. Master the sigmoid function and decision boundaries.

Course

1 Modules

00:18:39

Rs. 480

Rs. 600

Save20%on

Purchase

7 days money-back guarantee

Certificate on completion

Explore All Modules

This course provides a deep dive into using machine learning to build smarter, self-optimizing telecom networks. You will explore the fundamental ML techniques of regression and classification for predicting network behavior and detecting issues. Learn to forecast signal strength to prevent congestion and classify faults for automated resolution. We move beyond theory to practical implementation, focusing on real-world applications that impact key performance indicators. Gain the skills to leverage data for improving network reliability, customer experience, and operational efficiency. Transform raw network data into actionable intelligence and drive the future of autonomous telecommunications.

1 Modules

5 Lectures

5.2. Sigmoid Function Converting Data into Decisions

5.2. Sigmoid Function Converting Data into Decisions

00:02:59

5.3. Understanding the Logistic Hypothesis for Telecom Predictions

5.3. Understanding the Logistic Hypothesis for Telecom Predictions

00:05:09

5.4. Decision Boundaries Separating Normal and Malicious Traffic

5.4. Decision Boundaries Separating Normal and Malicious Traffic

00:04:42

5.5. Cost Function in Logistic Regression

5.5. Cost Function in Logistic Regression

00:04:04

Reviews