Trafik polisi kontrol noktaları

Introduction to Statistical Learning(Standford)

Project that detects the brand of a car, between 1 and 49 brands ( the 49 brands of Stanford car file), that appears in a photograph with a success rate of more than 80% (using a test file that has not been involved in the training as a valid or training file, "unseen data") and can be implemented on a personal computer.

Blake Master's notes from Peter Thiel's CS183: Startup

Graphics projects: Rasteriser ad Raytracer on Stanford Box with Extensions

Personal note on the Introduction to Computer Networking

Question answering system using java to access local & internet resource

Machine Learning Exercise Scripts

Simple demo app developed as part of Stanford CS193P iOS application development course

The repository of CS193p - Developing Apps for iOS

Exercises of Machine Learning Course by Andrew Ng Standford University

Cool compiler: a task for Compilers course in 4th year of the Computer Science career at the University of Havana, Cuba. We were a team of 3 students and we named our compiler as "SuperCool".

Programming assignments for Stanford University's Machine Learning Course.

CS193P iOS application development (Stanford) - Assignment 3

PageRank algorithm on Stanford Large Network Dataset Collection

Building an ACL tear , Meniscus tear and Knee abnormality detector to spot knee injuries from MRIs with PyTorch (MRNet)

CS193P iOS application development (Stanford) - Assignment 6

Review the machine learning contents by applying the assignment in python language.

PHP implementation of Standford's password policy