clean-system-bat-file

These bat files are used to clean the system TEMP, %TEMP% and PREFECH Folder

commands-refernce

Additional Notes on Commands of : Anaconda, PIP, BAT File Scripting, Windows Console Commands, GIT CLI Commands, Jupyter Notebook Kernel Creation, Git Ignore template and HEROKU CLI

covid19_dashboard

This repository contains visualizations for COVID-19 Data from API's to summerize the current situation

csv_analysis_dashboard

Analysis of CSV data using Chart.js

dl_project

Consist of the CNN/Sequential MNIST Hand Written Number recognition

flask-sentiment-analysis-

Using Flask and Chart.Js to develop Visualization of Data retrieved from Hadoop in excel CSV file

flask-sentiment-dashboard-bootstrap

The Visualization of Twitter data using Big Data Warehousing

gans-style-transfer-mri-t2-to-t2

GANs-Style-Transfer-MRI-T2-to-T2 : Misdiagnosis in the medical field is a very serious issue but it’s also uncomfortably common to occur. Imaging procedures in the medical field requires an expert radiologist’s opinion since interpreting them is not a simple binary process ( Normal or Abnormal). Even so, one radiologist may see something that another does not. This can lead to conflicting reports and make it difficult to effectively recommend treatment options to the patient. One of the complicated tasks in medical imaging is to diagnose MRI(Magnetic Resonance Imaging). Sometimes to interpret the scan, the radiologist needs different variations of the imaging which can drastically enhance the accuracy of diagnosis by providing practitioners with a more comprehensive understanding. But to have access to different imaging is difficult and expensive. With the help of deep learning, we can use style transfer to generate artificial MRI images of different contrast levels from existing MRI scans. This will help to provide a better diagnosis with the help of an additional image. In this capstone, you will use CycleGAN to translate the style of one MRI image to another, which will help in a better understanding of the scanned image. Using GANs you will create T2 weighted images from T1 weighted MRI image and vice-versa

hadoop-flume-pig-hive

Using Hadoop HortonWorks 2.5.6-292 to collect tweets from twitter in JSON and getting Meaningful insights

iris_dl

This is the deep learning model (Sequential) for predicting the class of flower depending on petal and sepal length/Width given as the input Iris dataset on flask deployed on Heroku

sanidhya-sharma

Config files for my GitHub profile.

upgrad

voice-assistant

Using Python Speech to Text, Regex, Subprocesses etc to make a BOT Assistant for Command identification and Converse