吴恩达(Andrew Ng)在coursera的机器学习课程习题的python实现
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Updated
Jun 23, 2019 - HTML
吴恩达(Andrew Ng)在coursera的机器学习课程习题的python实现
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My Assignment Submission made during the course 📙
This application collects Grad Schools data from https://www.usnews.com and gives output in an excel file
Machine learning problem sets from Stanford University's Machine Learning course on Coursera
Personal note on the Introduction to Computer Networking
Building an ACL tear , Meniscus tear and Knee abnormality detector to spot knee injuries from MRIs with PyTorch (MRNet)
It contains all the assignments of machine learning coursera.
This is one of several final project ideas. You can implement any of the final project ideas, or you can come up with your own.
Notes for Machine learning on coursera (Stanford 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
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.
My solutions standford ml-class-exercises in python
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