Ahad Al Seraihi's repositories
COVID-19-World-Vaccination-Progress
I performed basic exploratory data analysis (EDA) using Pandas, NumPy and Matplotlib libraries on a Kaggle dataset looking at COVID-19 world vaccination progress in the period (12/2020 - 04/2021). This included data cleaning, wrangling and visualization to answer some hypotheses based on data.
intro-to-ml-tensorflow
Projects and exercises for the Udacity Intro to Machine Learning with TensorFlow course
tensorflow
An Open Source Machine Learning Framework for Everyone
cbioportal
cBioPortal for Cancer Genomics
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Finding-Donors-for-Charity-ML
I applied supervised machine learning models (Decision Trees, Gradient Boosting, Support Vector Machines) on data collected for the US census to help CharityML (a fictitious charity organization) identify/predict people most likely to donate to their cause.
Image-Classifier-with-TensorFlow
I built a Python application that trained an image classifier on an Oxford flower dataset to recognize different species of flowers, and then predicted new flower images using the trained model. This project is a starting point in the world of deep learning and neural networks, implemented here using Keras, TensorFlow and transfer learning techniques.