Tushar Sharma

How to Split Data into Training and Testing in Python without Sklearn

Tushar Sharma

Updated on 28-Aug-2023 1K+ Views

In the domain of machine learning or artificial intelligence models, data stands as the backbone. The way this data gets handled shapes the holistic performance of the model. This includes the indispensable task of segregating the dataset into learning and verification sets. While sklearn's train_test_split() is a frequently employed method, there could be instances when a Python aficionado might not have it at their disposal or is curious to grasp how to manually attain a similar outcome. This discourse delves into how one can segregate data into learning and verification sets without leaning on sklearn. We will bank on Python's ...