BizzyMensah

BizzyMensah's Stars

• andrewssobral/parallels_desktop_crack_18.0.1-53056

  Parallels Desktop for mac Crack

  Language:Shell38497

• arkhurst/shopping-cart

  Language:JavaScript21

• google/fonts

  Font files available from Google Fonts, and a public issue tracker for all things Google Fonts

  Language:HTML18.3k2.6k

• 1j01/tangerinekangaroo.tk

  🍊🦘 Website to help the cause of the tangerine kangaroo

  Language:HTML1

• mirkobrombin/Kangaroo

  Jump between applications, windows and files

  Language:Python14

• dbkangaroo/kangaroo

  DBKangaroo's official repo for issue tracker and I18N

  Language:TSQL37723

• Owiredu/Face-Detection-With-Flask

  This is a flask website that performs face detection on a selected image.

  Language:Python1

• dsereboo/10728468-Session1

  Assignment for CSCD 319 Session 1

  Language:Jupyter Notebook2

• NOUR-OMAR/Programming-Assignment-3-Support-Vector-Machines-SVMs-

  In this assignment I'm required to use support vector machines (SVMS) from the popular “scikit learn” python library, to implement a model that predicts some binary target (class) based on two features . I use both linear and Gaussian kernels to notice how a linear kernel is not an appropriate choice when dealing with data that is not linearly separable.

  Language:Jupyter Notebook1

• mayaramde/CSCI-103-Project-3-It-s-All-A-Blur

  In this assignment you will design and implement a program to perform simple kernel based image processing filters on an image. We will be implementing three filters: 1) the Sobel operator for edge detection (using a fixed sized kernel), 2) the Gaussian blur filter for low-pass filtering, and 3) unsharp mask filter for sharpening an image (which uses the Gaussian blur filter). The kernel-based implementation you will design forms the basis for a large-class of image processing techniques, therefore through this programming assignment you will learn to implement an algorithm with wide applicability across computer science.

  Language:C++1