ashwin4glory

Microsoft-malware-prediction

This project is to build machine learning models on the byte and asm files to predict which type of malware these files represent. The byte files contain the hexadecimal codes and the asm file contains the assembly language code which contains keywords, opcodes, registers, APIs. We have to extract features from these files and build the optimal machine learning models on these extracted features.

PFAM-amino-acid-domain-classification

This project is to predict the family of the given domain of an amino acid using state of the art deep learning models.

Human-Activity-Recognition

This project builds models to predict the activity performed by human using deep learning and machine learning algorithms.

Quora-Question-Pair-Similarity

We have to build a machine learning model to predict whether two questions asked on quora are similar or not . So that the similar questions asked may have the same answers which have been given earlier for the previously asked similar question.

IDA-APS-Failure-prediction

IDA APS failure prediction system is a project to automate the process of predicting the failure in the air pressure system of scania trucks if there any.

Amazon-Review-Analysis

We are given a classification problem in which we are given review texts of Amazon users and we have to use NLP and Machine Learning to predict whether the reviews submitted by the users are positive or negative .

ashwin4glory.github.io

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SpringBootAWS

Demo project to perform EC2 and S3 operations in Spring boot application.