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-3-column-preview-card-component

A frontendmentor challenge where I had to build out a 3-column preview card component and get it looking as close to the design as possible.

-breast-cancer-prediction-using-svm

3-column-preview-card-compone-web-viewnt-

abstract-help-clone

original: https://help.abstract.com/hc/en-us

advice-generator-app

A frontend mentor challenge where I was asked to build an advice generator app using the Advice Slip API and get it looking as close to the design as possible.

advicegenerator-fem-challenge

Moe's solution to the advice generator challenge from frontend mentor

age-calculator-app

background-color-changer

week2-JavaScript challenge 1

baseapparel-coming-soon-page

border-style-changer

week2-JavaScript-challenge-2

cla-week-one

convolutional-neural-network-for-cifar-10

In the lesson we learn how to classify images - from handwritten letters to classification of birds and airplanes. In the Project we create a Convolutional Neural Network (CNN) model to classify a the CIFAR-10 image library.

coursera_deep_learning_specialization

Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

css-photomaster-challenge

MOE's solution to the css challenge (PhotoMaster)

css-project-help-page

Moe's solution of the help-page css coding session

css-week-1-practice

part 1 css homework (week 3)

css-week-2-practice

demio-streaming-plateform-reactjs

takehome challenge fron CLA - ReactJS

diabetes-classification-with-neural-networks

In this lesson we learn how Neural Network works, how to calculate the weights, how to use Batch sizes and Epochs. In the project we create a model to classify a diabetes dataset.

ecwid-homepage

A challenge from frontend practice

emg-signals-classification-for-neuromuscular-diseases-detection-using-deep-learning

Welcome to our repository dedicated to the code used in our study on classifying neuromuscular diseases through deep learning techniques applied to Electromyography (EMG) signals. Our research focuses on developing deep neural networks that can differentiate between healthy individuals and those with neuromuscular disorders.

emgclassificationalgorithms

A library of different algorithms for Classification of EMG Signal using Python & Scikit Learn

final-css-project-clone-a-figma-desgin

The first implementation of the first design from Figma community design

full-stack--book-app

fullstack-book-app

function-of-beauty-clone

CLA CSS part 2 homework: clone a website of your choice https://luxury-melomakarona-104862.netlify.app/

function-of-beauty-clone-

fylo-data-storage-component

hooks-in-react

html-challenge

Week 2 challenge. Reproduce a given feedback form.