Kassem's repositories
Vision-Transformer-Segmentation
Implement ViT Segmentation PyTorch for HuBMAP kaggle competition.
Siamese-Network
Image similarity estimation using a Siamese Network with a triplet loss
Machine-Learning-from-Scratch
ML using NumPy
Novozymes-Enzyme-Stability-Prediction
21st Place Solution - Representation Is All You Need
Digit-Recognizer-MNIST
Implement deep learning (CNN Network) and machine learning (Random Forest, KNN and Naive Bayes) to recognize digits from (0~9)
Dog-and-Cat-Classification
Distinguish images of dogs from cats using custom CNN network and Transfer Learning with Keras.
Generate-Prime-Numbers
Generate Prime Numbers from 1 to 1000 from scratch in Python and SQL.
Heart-Disease-Classification
Predict whether the presence of heart disease in the patient using several machine learning algorithms with EDA && Visualizations.
ICR-Competition-Solutions
ICR - Identifying Age-Related Conditions Solutions
Mechanisms-of-Action-MoA-Prediction
Silver medal solution + baseline of Kaggle competition Mechanisms of Action (MoA) Prediction.
Titanic-Machine-Learning-from-Disaster
This is the legendary Titanic ML competition solution – the best, first challenge for you to dive into ML competitions and familiarize yourself with how the Kaggle platform works.
UDACITY-Advanced-Data-Analysis
UDACITY - Advanced-Data-Analysis Track Project