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Name: Dewang Nautiyal
Type: User
Location: Dehradun, Uttarakhand, India
Name: Dewang Nautiyal
Type: User
Location: Dehradun, Uttarakhand, India
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It was an honor to do this project under the guidance of Professor Denis Leinhardt at ENSISA, Universite de Haute, Alsace, France. In this project, I predicted the final results of the Game of Life by training the Naïve Baye’s Classifier machine learning model with the training data, which was generated by the brute force implementation of Game of Life and similarly I generated the testing data also. Then I predicted the final cellular state after n generations from Naïve Baye’s Classifier by sending the test data as input in it and then calculated the accuracy by matching the predicted result with the actual results generated by brute force implementation. The algorithm was written in Java and the java machine learning libraries of Weka were used for prediction purpose.
Coursera Test Repository
It is an application to encrypt the text and then the text can be copied to clipboard and can be sent through any test messenger to a receiver. The receiver can the decrypt the text by using the same application and see what is the hidden message. The third party cannot see the contents as the encryption is made possible by using a key that is unique for the two parties.
The aim of this project was to do analysis on the big data of the game ‘FIFA 2017’. The data consisted of the distinguished player information, their gameplay skills, their team information etc and using it I did analysis to find the best players, best goal scorers, best team out of all the players, best team in each of the continent etc. I used some. I achieved the goals using Python programming language by using its data analysis libraries like Matplotlib, Numpy, Pandas etc. The goals were achieved successfully.
Median Housing Price Prediction by Building a Machine Learning Model
Open Source Computer Vision Library
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