Arya Shah
@aryashah2k
已链接的账号
aryashah2k 持有其他平台上的下列账号：
代码库
aryashah2k 星标数 30 2个月前 更新
My Github Profile README
Printing-Pattern-Programs 星标数 49 1年前 更新
An Awesome, Well Maintained Repository Containing Huge Collection Of Printing Patterns Programs In C, C++, Python, Java And C#. Asked In Contests/Interviews.Helpful In Understanding Looping Constructs And Build Logic Behind How To Print Any Given Pattern.
Quantum-Computing-Collection-Of-Resources 星标数 301 2年前 更新
A Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School's Introduction To Quantum Computing Course '21
OOP-In-CPlusPlus 星标数 76 3年前 更新
An Awesome Repository On Object Oriented Programming In C++ Language. Ideal For Computer Science Undergraduates, This Repository Holds All The Resources Created And Used By Me - Code & Theory For One To Master Object Oriented Programming. Filled With Theory Slides, Number Of Programs, Concept-Clearing Projects And Beautifully Explained, Well Documented Learnings, This Repository Shall Project My Learnings In OOP During College And Help You Master The Same!
Handwritten-Multiple-Digits-Recognizer 星标数 42 4年前 更新
An Intuitive Desktop GUI Application For Recognizing Multiple Handwritten Digits Drawn At The Same Time. Trained On MNIST Dataset and Built With Python, OpenCV and TKinter
AWS-GluonCV-Coursera 星标数 14 4年前 更新
A Repository Maintaining My Solutions And Additional Resources For The Course- AWS Computer Vision- Getting Started With GluonCV Offered By Amazon Web Services On Coursera
Computer-Vision-Basics-Coursera 星标数 18 4年前 更新
A Repository Maintaining My Solutions And Additional Resources For The Course- Computer Vision Basics Offered By University at Buffalo & The State University of New York On Coursera
Datalogy-Customer-Segmentation-Data-Science-Internship 星标数 17 4年前 更新
A Repository Maintaining My Summer Internship Work At Datalogy As A Data Science Intern Working On Customer Segmentation Models Using Heirarchical Clustering, K-Means Clustering And Identifying Loyal Customers Based On Creation Of Recency, Frequence, Monetary (RFM) Matrix.
记录
aryashah2k 在 4年前 加入。