Gehad Hisham's Projects
The Nobel Prize is perhaps the world's most well known scientific award. Every year it is given to scientists and scholars in chemistry, literature, physics, medicine, economics, and peace. The first Nobel Prize was handed out in 1901, and at that time the prize was Eurocentric and male-focused, but nowadays it's not biased in any way. Surely, right? Well, let's find out! What characteristics do the prize winners have? Which country gets it most often? And has anybody gotten it twice? It's up to you to figure this out. The dataset used in this project is from The Nobel Foundation on Kaggle.
For this project, I will be working to understand the results of an A/B test run by an e-commerce website. The goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.
Pre-trained Transformers for the Arabic Language Understanding and Generation (Arabic BERT, Arabic GPT2, Arabic Electra)
AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.
Create a function that receives a list of strings that are arithmetic problems and returns the problems arranged vertically and side-by-side. The function should optionally take a second argument. When the second argument is set to `True`, the answers should be displayed. ### For example Function Call: ```py arithmetic_arranger(["32 + 698", "3801 - 2", "45 + 43", "123 + 49"]) ``` Output: ``` 32 3801 45 123 + 698 - 2 + 43 + 49 ----- ------ ---- ----- ```
Anomaly detection
A topic-centric list of HQ open datasets.
The project is to build a binary tree with a mathematical expression maybe something like this : 2*4-5 , this is the first version of it, the second version is to add parentheses: (2+3)*4
several computer vision projects using computer vision, deep leaning, and other CV techbiques
In this is study it will be presented an exploratory data analysis for covid in the world. Then, I will focus on the data from Egypt, my home country.
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
Classify a given image of a handwritten digit into one of 10 classes, and deploy using streamlit.
Coursera Neural Networks and Deep Learning Specialization
My solutions to the programming exercises in the TensorFlow Developer Professional Certificate on Coursera, by deeplearning.ai
NLP classification for Tweets about disasters.
Binary classification aiming to predict data exfiltration via DNS.
Critical review
In this project we will explore a database of every LEGO set ever built.
What you need to know to start building APIs using FastAPI
Use NLP and clustering on movie plot summaries from IMDb and Wikipedia to quantify movie similarity.
Fine-tuning a Bidirectional Transformers for Language Understanding (BERT) model for text classification with TensorFlow.
Finetunning LLama3.1 8K using unsloth