Logistic Regression in ML for Beginners | With Code in Google Colab скачать в хорошем качестве

Logistic Regression in ML for Beginners | With Code in Google Colab

Logistic Regression in Machine Learning | Step by Step Tutorial Using Google Colab In this video, we explain Logistic Regression from basic to practical level using Python in Google Colab. This tutorial is specially designed for beginners, college students, and anyone preparing for machine learning exams or interviews. You will learn: ✔ What Logistic Regression is and where it is used ✔ How the Sigmoid function works ✔ Why each step and each line of code is important ✔ How to implement Logistic Regression in Google Colab ✔ Model training, prediction, and probability output ✔ Accuracy, Confusion Matrix, and Classification Report ✔ A real-world binary classification example 📌 This video focuses on concept clarity and practical implementation. 💻 Tools & Technologies Used Python Google Colab Scikit-learn Matplotlib