Unsupervised Data Prediction

unsupervisedlearning
#1

I have a students data set and need to predict their conversion in a college . It is an unsupervised data , which techniques can i use to predict the data and get probabilities of yes and No

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#2

you can use k-means clustering to model each observation to one of 2 states. Assuming it’s clear which state to label ‘yes’ and ‘no’, you can then do a regression model to see what factors best describe the state you care about.

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#3

KNN and Logistics Regression

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#4

You can use gans and train model on it by manually labelling the train data .
Then run your model and prdeict using generator
Hope you know the architecture of gan

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#5

Use KMean, hierarchical clustering

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#6

You have to label the data first (with YES/NO), this you can do it by collecting the historical conversions. Once your training data is ready, you can use any classification model to learn from that data and predict.

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