How would you create a classifier to classify a point P in a LiDAR dataset as either belonging to a "blob"-type object (trees, etc), a "plane"-type object (side of building, road, etc), or a "line"-type object (street sign, etc) using only x, y, z information of the point in question and the x, y, z coordinates of other points in a given neighborhood R.
A graph traversal question was asked.
Python code 1)to draw a vague waveform 2)to load a video file framewise. 3) to implement data and network learning code(architecture and output graph is given) 4)to implement VAE using MNIST by given parameters. (dataset in colab)
Are tuples Immutable or Mutable ?
How to show why the network is misclassifying certain classes
Find top k elements(simply copy paste solution from geeks for geeks) Find majority element(leetcode question but interviewer wanted exact solution from geeks for geeks)
how does a computer calculates e^x
"Minimum number of refueling stops" on leetcode
LR, SVM
How to handle data in pandas
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