to download project abstract of machine learning features

At DataPro, we provide final year projects with source code in python for computer science students in Hyderabad , Visakhapatnam.

ABSTRACT
Firstly the quantity of separation cases is expanding very quickly everywhere. Over the most recent
couple of years, the quantity of divorces have gone up from 1 of every 1000 to 13 out of 1000
in India. Due to this explanation, it is a main pressing issue for marriage mentors and advisors.
Along these lines, a viable separation expectation method is required that helps a marriage
mentor or an advisor to distinguish how serious a case is. In this work, the creators present a
review separate from case expectation utilizing the current AI calculations. The creators have
applied the Perceptron classifier, Choice Tree classifier, Random Forest classifier, Naive
Bayes classifier, K-Nearest Neighbor classifier and Support Vector Machine classifier for
forecast of separation, still up in the air to the best exactness by looking at these calculations.
The rules utilized in this review utilizes Gottman technique to make the predictions. The
calculations later the preparation will anticipate whether the separation will happen or not.
This can help the advisor to examine how tense the circumstance is between a couple and thus
counsel them appropriately. The creators have accomplished the most elevated precision of
98.5% with the Perceptron model.

MACHINE LEARNING  MODEL TO PREDICT THE  DIVORCE OF MARRIED COUPLES - machine learning features
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