Name: Mohammed Faizan uddin
Type: User
Company: Lords Institute of Engineering & Technology
Bio: 5-star coder at HackerRank | Virtual Intern at Cognizant & Deloitte | Intern at Coding Ninjas | CSE 3rd Year Student at Lords Institute of Engg & Tech Hyd.
Location: Hyderabad
Blog: https://www.linkedin.com/in/md-faizan-uddin-423b18204/
Mohammed Faizan uddin's Projects
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
An android app that you can use to stalk anybody on Codeforces. Just enter the handle and you can get to know the User Information, Rating Graph, Rated Contest Details, Problems Solved by Difficulty and Index.
Here are my template codes for Competitive Programming with optimised implementations of various algorithms. I personally use them every day and have tested almost all of them in multiple competitive programming contests and practice problems
List of Computer Science courses with video lectures.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
The world's simplest facial recognition api for Python and the command line
Just for practice
In this example, we create a Patient class to represent a patient and a Hospital class to represent a hospital. The Hospital class has methods to add a patient, discharge a patient, and print all patients. We create a Hospital object and add some patients to it, then print all patients.
The Iris Flower dataset is a classic dataset that is often used for introductory machine learning projects. The goal of this project is to train a machine learning model that can accurately classify the species of an Iris flower based on its characteristics.
Deep Learning for humans
Config files for my GitHub profile.
An app that supports polling in real-time. Not yet completed
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnormal b
scikit-learn: machine learning in Python
An Open Source Machine Learning Framework for Everyone