InnovateTheExisting's repositories
Big_Data_Assignments
Usage of Apache Hadoop, Spark and Kafka.
CS6360_Project
CS6360_Project
Data-Engineering-Nanodegree
This repository holds the python files and notebooks associated with the Udacity Data Engineering Nanodegree.
AI
Implemented the projects in this repo as a part of course CS 6364 at UT Dallas
Big-Data-Management-Analytics-Project
Final Project for CS 6350.001 - Large Scale Data Collection and preprocessing in Spark
Bigdata-Management-and-Analytics
CS 6350 Big Data Analytics and Management (Graduate Level) Spring 2020
Brain-Tumor-Detection-with-Deep-Learning
In this project there was application of Deep Learning to detect brain tumors from MRI Scan images using Residual Network and Convoluted Neural Networks. This automatic detection of brain tumors can improve the speed and accuracy of detecting and localizing brain tumors based on MRI scans. This would drastically reduce the cost of cancer diagnosis and help in early detection of tumors without any human involvement and would essentially be a life saver. We have also compared the accuracy of results obtained by using two different models - ResNet50 and ResNet18 and used Transfer Learning to tune or freeze weights to evaluate what gives best result.There are 3929 brain MRI scans which are either positive or negative cases of brain tumor. Models were built using ResNet50 and ResNet18 and evaluated their performance in detecting positive or negative cases of brain tumors.
cl-poker-eval
Common lisp 7 card poker hand evaluation. Evaluation based on pokersource.
CS-6375-Machine-Learning
All Homeworks/Assignments/Projects for the Coursework
CS6350-Big-Data-Management-and-Analytics
Course project for Big Data Management and Analytics taught by Anurag Nagar at UT Dallas.
CS6375-Machine-Learning
Implement Decision Tree, Naive Bayes, Logistic Regression, K-Means algorithm.
Cyber-Attack-Attribution-with-Machine-Learning
Cyber attack attribution is the process of attempting to trace back a piece of code or malware to a perpetrator of a cyberattack. As cyber attacks have become more prevalent, cyber attack attribution becomes more valuable. The process of cyber attack attribution can be done using reverse engineering. From the metadata of the malware executable file, we can gather data such as date of creation, variable names used, and what library calls are imported. This information can be used as features for attribution analysis. We need to extract the features from malware that can be used for attribution and analyse them using some technique to attribute the attacks.
DegreePlanner
A Degree Planner for UTD. Default including CS master courses (both core and eligible). Use PHP and XAMPP for back-end, and JavaScript, JQuery for front-end.
Encryption-Project
The project “Encryption System” enables us to encrypt our plain text file into cipher text and decrypt the encrypted cipher text file into its original plain text format. It’s an implantation of the “Caesar Cipher” encryption technique.
Fundamentals-of-Web-Development-Solutions
Fundamentals of Web Development solutions (HTML, CSS, PHP, JAVASCRIPT, JQUERY)
Mastery-in-Data-Engineering
This is the path that I am following to be a Jedi Master into Data Engineering.
MazeApplication
Algorithm Application DFS, BFS and A*
NaturalLanguageProcessingAssignments
CS 6320.003 course assignments
pacman-projects
Course projects for CS 6364
Real-Time-Streaming-Data-Pipeline-and-Dashboard
Building Real Time Data Pipeline using Apache Kafka, Apache Spark, Hadoop, PostgreSQL, Django and Flexomonster on Docker to track status of Servers in the Data Center across the Globe.
udacity-data-engineering-capstone
Capstone Project for Udacity Data Engineering Nanodegree
Udacity-Data-Engineering-Nanodegree
Udacity's 5 Month Data Engineering Nanodegree program. This repo includes all the projects completed.
Udacity-Data-Engineering-Nanodegree-1
Udacity Data Engineering Nanodegree Projects
Udacity-Data-Engineering-Projects
Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
UTD
Course Work