KassemBuilding an ML-Powered Survey Analysis System with RAG: A Deep DiveThe Survey Analysis RAG System offers an innovative way to analyze survey data by combining Retrieval-Augmented Generation (RAG) with…Oct 18Oct 18
KassemMaster Fantasy Premier League with FantasyLTX: A Data-Driven Approach to FPL SuccessAs an FPL addict, I developed Fantasy-Premier-League-LTX (FPLLTX) to gain an edge over rivals using machine learning models like Linear…Sep 13Sep 13
KassemBuilding a K-Nearest Neighbors (KNN) Classifier from Scratch: A Comprehensive GuideThe K-Nearest Neighbors (KNN) algorithm is one of the most straightforward and intuitive methods in the world of machine learning. Despite…Aug 27Aug 27
KassemBuilding a Naive Bayes Classifier from Scratch: A Step-by-Step GuideIn the world of machine learning, understanding the fundamental algorithms is crucial for building a solid foundation. One such algorithm…Aug 26Aug 26
KassemImage Similarity Estimation Using a Siamese Network with Triplet Loss: A Practical GuideIn the realm of machine learning, one of the fascinating challenges is determining the similarity between images. This task is pivotal in…Aug 24Aug 24
KassemBuilding a Simple Logistic Regression Model from Scratch with NumPyLogistic regression is a fundamental algorithm used for binary classification problems where the outcome belongs to one of two classes. It…Jul 15Jul 15
KassemUnderstanding Linear Regression by Building It from Scratch with NumPyLinear regression is one of the foundational algorithms in machine learning and statistics. Its simplicity and interpretability make it a…Jul 13Jul 13
KassemBuilding a Multi-Layer Perceptron from Scratch with NumPyUnderstanding the mechanics of machine learning models by building them from scratch is an invaluable exercise for any aspiring data…Jul 101Jul 101
KassemMNIST: A Beginner’s Guide to Artificial Intelligence with Digit RecognitionJoin me in exploring AI by building a digit recognizer with MNIST, from data preprocessing to training a Convolutional Neural Network…Jul 9Jul 9
