TRAIN AND TEST DATA SPLIT | Machine learning 101 | Lecture 11

In this video, we will talk about the Train and Test data splitting method. We will see how it helps us measure if the trained machine learning model is good enough.

We will also see with the help of a Python example how visualizing the split dataset helps us in this process.

We also talk about the R-squared coefficient in this video. We will reiterate how this coefficient’s value helps us measure the relationship between the x- and y-axis.

Now that you know the Training and Testing data splitting method, you are familiar with the basic machine learning workflow.

This series is brought to you by Vaibhav Kulshrestha, a machine learning engineer at Drishti Technologies. Vaibhav has extensive experience in machine learning and deep learning. He has incorporated many of the little tips and tricks he learnt in the trade into this series.

#machinelearning #pythonprogramming #python #training #testing #split

[wwewwe]

Great that you uploaded this playlist at this time. Its very exciting

[ruku]

The data analyses and test data splitting will be helpful in my research, good job

[studyu]

Vaibhav sir please make more of these
videos