anubhavjohri Goto Github PK

bcg-app-service

An express REST Api working for bcg-ui-app React app. Uses Mongo for backend.

bcg-ui-app

It's an app that holds data of insurance policies active right now and gives users the features to get and update the details of existing policies also, see the number of policies bought/month in a particular region.

cehv10

Leaked slides and labs

college-listing-app

This web app shows the colleges with their basic information and mainly focuses on implementing lazy load

decision-tree-build-code-

graphor-app-backend

Converts CSV file/JSON into Graphical format

graphor-app-frontend

Converts a CSV file/JSON into Graph

hello-world

Beginner

javademo

First Java Project

keras-tensorflow

Implementing Deep Neural Nets built on Keras and Tensor-Flow Framework

machine-learning-practise

Working on some good practices like Feature Scaling and trying to reduce cost effectively using Multi-Variable Gradient Descent . Also implementing Clustering , Logistic Regression and Image classification on Olivetti datasets. Datasets used are obtained from SKLearn.

parkinson-detection

We have implemented an extensive empirical evaluation of CNNs (Convolutional Neural Networks) on large-scale image classification of grait signals converted to spectrogram images and deep dense ANNs (Artificial Neural Networks) on the voice recordings to predict whether a patient is suffering from Parkinson disease or not.

practice-app

ransomware-detection

RansomwareElite is an android application which detects the presence of ransomware in the apps installed on an android device by checking the presence of any threatening text in app code or by verifying the permissions requested by the app from the user. In this paper, we focused on improving the performance of RansomwareElite app by extending its features. Now, the RansomwareElite app also searches the presence of any threatening image or file containing threatening text by analyzing the Android Package Kit(APK) file of android app. Moreover, it also detects some specific methods and classes in the code of the APK which could be used for locking the device and checks some specific permissions requested, for uninstalled apps now. Further, it maintains a database on the online server for the records of all the suspicious and ransomware apps detected by RansomwareElite. We have tested RansomwareElite with 9 Test Apps which are manually created based on the features of ransomware family and on 48 android devices. After analyzing the test results, we have found that the performance of RansomwareElite is improved after incorporating the new features and RansomwareElite app detects the presence of ransomware in installed as well as uninstalled apps present on an android’s device in an efficient manner.

rnn

silk-road-backend

silk-road-service

silk-road-ui

test-app

text-classification-nlp-

Manually Breaking Tweets into features using and classifying tweets into various categories using many supervised algos in SKLearn Library

textor-app-backend

Extracts texts from Images using Google Cloud Vision api.

textor-app-frontend

Textor extracts texts from images

titanic-assignmen

twitter-us-airline-sentiment-analysis

This project has taken US Airlines Twitter Dataset (Training 15000 tweets & Testing 3000 tweets). It uses machine learning to classify the sentiments of tweets into positive, neutral and negative. It uses Naive-Bayes Classifier for text-classification and NLTK and SkLearn libraries in python.