shivamkasat Goto Github PK
Name: Shivam Kasat
Type: User
Bio: Jr Developer for life :)
Location: Bengaluru
Name: Shivam Kasat
Type: User
Bio: Jr Developer for life :)
Location: Bengaluru
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
Human face detection and recognition is an important technology used in various applications such as video monitor system. Traditional method for taking attendance is Roll Number of student and record the attendance in sheet which takes a lot of time. Because of that systems like automatic attendance is used. To overcome the problems like wastage of time, incorrect attendance, the proposed system gives a method like when he enters the class room , system marks the attendance by extracting the image using Principal Component Analysis algorithm. The system will record the attendance of the student automatically. The student database is collected, it includes name of the students, there images and roll number. It carries an entry in log report of every student of each subject and generates a PDF report of the attendance of the student.
:memo: An awesome Data Science repository to learn and apply for real world problems.
Code samples from my blog
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Carefully curated resource links for data science in one place
Toturial coming with "data science roadmap" graphe.
Detecting and classifying depression from motor activity data using Deep Learning
Django 3 by Example, published by Packt
This repository contains all the dynamic programming question I practiced for my interview preparation.
Recognizing faces of individual humans using Principle component analysis and Linear Discriminant Analysis from Scratch in python.
Solutions to problems on Interview Bit
Most comprehensive list :clipboard: of tech interview questions :blue_book: of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.
My solution codes for 400+ algorithms and data structure problems. Most common and famous interview placement questions from Data Structures and Algorithms.
This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms
This repository contain various machine learning algorithms created from scratch using python.
Mattermost is an open source platform for secure collaboration across the entire software development lifecycle.
Machine Learning algorithms implemented in Python from scratch
An open source social media platform and public forum for questions and discussions, built for developers.
Backend/API for the Mumble.dev, an open source social media application.
Hello everyone, I have created this repository specifically for competitive questions and for placements preparation.
Practice question for placement preparation
I developed this model with Khusbhu Jayesh Kumar Mewada under the guidance of Dr. K.P. Singh (Professor Of Machine Learning IIITA) for forecasting the number of active cases in different Countries (Spain, India, South Korea) and different states of India.
Curated list of project-based tutorials
storyteller
Test repo to experiment
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.