What is linear and nonlinear dataset|how to classify them| machine learning

This video is about understanding what is linear and non-linear data.

This briefs about how to find the solution when dataset is linear or non-linear.

The steps for linear data

1. Find upper boundary.

2. Find lower boundary

3. Mean the both boundaries to obtain optimum boundary line.

For non-linear dataset

1. Increase the dimension through shifting

2. Shift the datapoints to one plane (towards right or left plane)

3. Square the shifted signal hence non-linear dataset converts to linear dataset.

While increasing the dimension take care of this, there is a rule that if you have N classes then increase the dimensions to N-1.

Find the boundary line which is not too complex. Have simpler lines for good accuracy.

#nonlinearandlineardataset #regression