Arya Shah
@aryashah2k
已連結的帳號
aryashah2k 在其他平臺擁有以下帳號：
儲存庫
aryashah2k 星號數 30 於 2 個月前更新
My Github Profile README
Printing-Pattern-Programs 星號數 49 於 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 星號數 301 於 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 星號數 76 於 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 星號數 42 於 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 星號數 14 於 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 星號數 18 於 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 星號數 17 於 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.
記錄
aryashah2k 於 4 年前加入。