What is difference between supervised and unsupervised models
Are we training labelled data or we just try pur those similar data points into the same cluster?
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Build SVM From Scratch in Python
Implementation
Before we dive into the code part, lets see some math equations. For all x in training Data: xi.w + b <= -1 if yi = -1 (belongs to -ve class) xi.w + b >= +1 if yi = +1 (belongs to +ve class) For all support vectors which decide...
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Discriminant Analysis
A dimensionality reduction technique
In one sentence, Linear Discriminant Analysis use the information from features to create a new axis and projects the data to this new axis to minimize the variance and maximize the distance between the mean of two classes. Before breaking up the algorithm, I want to talk little about the...
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AWS Data scientist basics--Data Structure
Step One
What exactly is data structure? The simplest way to answer this is by describing it as a way of organizing and sorting data. Let me put this way. You want to find a specific book in an unorganized library, this task would take you an enormous amount of time. That’s...
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Decision trees
Different tree models
Why call it a decision tree? This is because you make a bunch of choices until you get to the final decision and the processes are shaped like a tree with all those branches.
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