Hadeer Ismail Youssef

Applying ML_model such as (Kmeans) to cluster specific data set and implement interactive Dashboard using python by variance of its libraries like (pandas, numpy, dash, plottly and bootstrap).  Applying Clustering on big data set by using four models (Kmeans, Hierarchical, DBSCAN &Gaussian Mixture) and comparing results between them according to the best silhouette score for each model before and after using PCA.  Kaggle Project about Dry Beans classification  Face Detection by supervised learning  Road lane line detection –computer vision project in python  Project on Traffic Signs Recognition with 95% Accuracy using CNN & Keras  Reinforcement Learning project about Car Racing game  Web Scraping using selenium  Worked on various tasks on computer vision and image processing in the final project on Building an AI Application on Computer Vision Distracted Driver Detection Model  COVID-19 project about Protection car against the coronavirus