maliksh7
Software Engineer x 2.5 years | Master Thesis @ Texas Instruments
Hof University of Applied SciencesMunich, Germany
Pinned Repositories
Anomaly-Detection-System
If you can find the pattern for expected or "normal" data, then you can also find those data points that don't fit the pattern. Companies in industries as diverse as financial services, healthcare, retail and manufacturing regularly employ a variety of data science methods to identify anomalies in their data for uses such as fraud detection, custom
Bank-Management-System
CapCSV-meter
These python scripts capture Real-time stream and dump it into pcap file through "Dumpcap" and then convert the pcap files to csv files with the help of "Flowmeter" , after that we merge those csv's into 1 csv file and apply Normalization and preprocessing techniques to make it suitable to feed ML / DL Model.
DeepMAD
Malicious Activity Detection System. Final Year Project. Deep Learning-based solution, which analyses Network Activity sequences to classify whether the certain node is Malicious or Benign. Devising a tool/software which will detect malicious Network Activity Detection using Deep Learning Model. Tools: Python, Neural Network (BERT), Google Colaboratory, PyTorch, Kaggle, Tensorflow, and Flowmeter,
finance-tracker-
This is the finance tracker app
MALICIOUS-ACTIVITY-DETECTION-USING-BERT
Malicious Activity Detection System (current) Final Year Project (in progress) Deep Learning based solution, which analyses Network Activity sequences to classify whether the certain node is Malicious or Benign. Devising a tool/software which will detect malicious Network Activity Detection using Deep Learning Model. Tools: Python, Neural Network (BERT), Google Colaboratory
maliksh7
ProShop
Proshop is a full-stack e-commerce application built using the MERN stack (MongoDB, Express.js, React, Node.js). It allows users to browse and purchase products online.
Serverless-Flask-Application
It focuses on mastering FLASK, ECS, ECR, Docker, and Fargate for cloud-native development, enhancing scalability and deployment efficiency. By adhering to best practices like docstrings and environmental variables, it streamlines development workflows and ensures consistency across deployments. Technologies utilized include FLASK, ECS, ECR etc
stats-prob-cs
The purpose of this course is to present probability and statistics from a Computer Science perspective. Most prob and stats courses focus too much on math and on concepts useful in social sciences. We will focus on the aspects most relevant to computer science (and as such, will skip some stuff that isn't application oriented). This foundations presented in this course will prepare you to take any machine learning and deep learning course and tackle it very easily. See the course material used in this course here: https://github.com/recluze/stats-prob-cs
maliksh7's Repositories
maliksh7/DeepMAD
Malicious Activity Detection System. Final Year Project. Deep Learning-based solution, which analyses Network Activity sequences to classify whether the certain node is Malicious or Benign. Devising a tool/software which will detect malicious Network Activity Detection using Deep Learning Model. Tools: Python, Neural Network (BERT), Google Colaboratory, PyTorch, Kaggle, Tensorflow, and Flowmeter,
maliksh7/CapCSV-meter
These python scripts capture Real-time stream and dump it into pcap file through "Dumpcap" and then convert the pcap files to csv files with the help of "Flowmeter" , after that we merge those csv's into 1 csv file and apply Normalization and preprocessing techniques to make it suitable to feed ML / DL Model.
maliksh7/finance-tracker-
This is the finance tracker app
maliksh7/maliksh7
maliksh7/portfolio_builder
maliksh7/Restaurant-Management-System
maliksh7/Steam-Gift-Cards-Store
Steam Gift Cards Store Semester Project for Web Programming Digital gift cards selling website. Manage the whole transaction system including transaction history. Tools: Vue.js, Javascript, HTML, CSS, Routers, Hooks
maliksh7/Anomaly-Detection-System
If you can find the pattern for expected or "normal" data, then you can also find those data points that don't fit the pattern. Companies in industries as diverse as financial services, healthcare, retail and manufacturing regularly employ a variety of data science methods to identify anomalies in their data for uses such as fraud detection, custom
maliksh7/Create-and-run-a-CI-CD-pipeline-for-an-app
maliksh7/CRUD-app_ROR
maliksh7/CS4055-Digital-Image-Processing
maliksh7/CS4104-Applied-Machine-Learning
maliksh7/maliksh.github.io
portfolio template
maliksh7/rails-friendList-app
maliksh7/Serverless-Flask-Application
It focuses on mastering FLASK, ECS, ECR, Docker, and Fargate for cloud-native development, enhancing scalability and deployment efficiency. By adhering to best practices like docstrings and environmental variables, it streamlines development workflows and ensures consistency across deployments. Technologies utilized include FLASK, ECS, ECR etc
maliksh7/Snake-and-Apple-Game
Building snake and apple game in pygame and python. Snake and apple is a simple game where when snake eats an apple it gets longer and your score increases. If you snake hits any part of its body it will die.
maliksh7/ProShop
Proshop is a full-stack e-commerce application built using the MERN stack (MongoDB, Express.js, React, Node.js). It allows users to browse and purchase products online.
maliksh7/Web-Health-Monitoring
- Implemented a Web Health Monitoring system via CRUD API Gateway, leveraging AWS services for efficient real-time data management and optimal web application performance.
maliksh7/Applied-Cloud-Computing-Project
maliksh7/bootstrap4-coursera-course
About this Course This course will give you an overview of client-side web UI frameworks, in particular Bootstrap 4. You will learn about grids and responsive design, Bootstrap CSS and JavaScript components. You will learn about CSS preprocessors, Less and Sass. You will also learn the basics of Node.js and NPM and task runners like Grunt and Gulp. At the end of this course, you will be able to a)Set up, design and style a web page using Bootstrap 4 and its components, b) Create a responsive web page design, and c) Make use of web tools to setup and manage web sites. This course also includes an honors track that enables you to work on your own project developing a website using Bootstrap 4. Students enrolling in this course should have prior good working knowledge of HTML, CSS and JavaScript.
maliksh7/CRUD-API
maliksh7/gautamkrishnar
Yet another GitHub profile readme :smiley:
maliksh7/haris741
maliksh7/IoT-Based-Smart-Weather-Finder-Using-M5Stack
maliksh7/mhassan
maliksh7/quiz-app-flutter
maliksh7/Tic-Tac-Toe-
maliksh7/users-website-TLD
maliksh7/WanderWave-Tourism-with-ownCloud-and-Yii2-integration
maliksh7/Wiesmann---Industry-4.0
Implemented Industry 4.0 for Wiesmann Automotive Group to transform their manufacturing process into a smart factory by integrating IIoT, robotics, and HMI systems, enhancing production efficiency, reducing manual workload, and maintaining high product quality and customization.