Data Science Tips: Assessing Model Performance Using Cross Validation

Описание: In this video, we dive deep into the essential technique of Train-Test Split to ensure your machine learning models perform accurately and reliably. Whether you're a beginner or an experienced data scientist, understanding the Train-Test Split method is crucial for evaluating your model's generalization to unseen data.

What You'll Learn:
🔹 What is Train-Test Split?
🔹 Importance of Train-Test Split in model evaluation
🔹 Step-by-step guide to implementing Train-Test Split in Python
🔹 Common pitfalls and how to avoid them
🔹 Best practices for splitting your dataset

Timestamps:
00:00 Introduction
00:28 Auto-mpg Dataset
00:40 Binary Classification Problem
01:44 Design Matrix Setup
02:10 Train Test Split
02:40 Fit Logistic Regression + KNN
05:00 Issues with single split
06:15 Solution to single split problem
07:30 Boxplots