- Utilized statistical methods to find the significant differences in the modulation of brain cardiovascular pulse with respiration between controls and Alzheimer’s cases to help the neurological researchers to have a better understanding of Alzheimer’s diseases. The differences found were strongly significant (P<0.01) and novel.
- Preprocessed and extracted features using a 3D multiresolution optical flow of 0.25 TB complex brain imaging data using python.
- Publication: Youssef Hosni, Ahmed Elabasy et.al., Respiration modulates cardiovascular brain impulse pathology in Alzheimer’s disease. Submitted to Journal of Cerebral Blood Flow and Metabolism.
- Publication: Ahmed Elabasy, Youssef Hosni et.al., Optical Flow Analysis of Propagating Respiratory Brain Pulsations. Submitted to IEEE Transactions on Medical Imaging.
- Automobile price prediction: Utlitize python to implement end to end data science pipeline to predict the price of old Automobile based on the given features.
- Sensor Activity Recogniation: Classifying the output of eight sensors into five activities and studied the effect of changing window sizes and axel combination.
- Alzhimers CV-BOLD Classification: Utilized Python to develop supervised machine learning techniques to classify imbalanced Alzheimer’s CVBOLD data, which enhanced the classification performance by 10%.
- Find the best location to open a new Gym: Utilized python to implement unsupervised techniques to helping the business owner to increase his revenue by finding the best neighborhood to open a new gym.
- Customer identification for mail order products: Utilized python to implement unsupervised techniques to helping the business owner to increase his revenue by finding the best neighborhood to open a new gym.
- Melenoma Classification: Classifying malignant Melanoma using skin lesion images using CNN-based classifiers.
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Pose Estimation and Squat counter: Utilize python to develop a real-time pose estimation and squat counter using MovingNet lightning.
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Real Time Sign Language interpretation App: Developed a real-time sign language interpretation application using React.js and tensorflow.js.
- Sentiment Analysis web app: Web application for classification of reviews, using deep learning model implemented in PyTorch and deployed on Amazon SageMaker.
- Plagirasm Detector web app: Creating plagiarism detector trained on LSC and containments features and deployed on AWS SageMaker.
- Data Science Resume Selector: Selecting the resume that are eligbile to data scientist postions, the dataset used contains 125 resumes, in the resumetext column. Resumes were queried from Indeed.
- Power consumption prediction: Classifying malignant Melanoma using skin lesion images using CNN-based classifiers.
- Immigrants to Canada data visulization: Visualizing the data of the immigrants to Canada using different visualizing libraries in Python.
- Geospatial visualization of San Francisco Police Department Incidents: Visualizaing the geospatial data of the San Francisco police department incidents for the year 2016.
- San Diego Rainforest Fire Predicition: Predicting the occurance of rainforest fire in san Diego using weather data collected by san Diego weather center.
- Cluster Analysis of the San Diego Weather Data: Ultilizing pyspark to implement unsupervised learning model to cluster the san Diego weather data so as to better understand the occurance of the rainforest fire.
- Songs App User Activity Data Modeling : Modeling user activity data for a music streaming app called Sparkify to optimize queries for understanding what songs users are listening to by creating a Postgres relational database and ETL pipeline to build up Fact and Dimension tables and insert data into new tables.
- Songs App data modeling using Apache Casandra: Create an Apache Cassandra database which can create queries on song play data to answer analysis questions.
- Machine Learning Specialization
- Big Data Specialization
- Intro to Machine Learning with Tensorflow Nanodegree
- Machine Learning Engineer Nanodegree
- AWS Fundemntals Specialization
- Data Science Professional Certificate
- AI for Medicine
- Data Visualization with Seborn
- Time Series Forecasting
- Data-Visualization-with-Plotly-in-Python
- Machine Learning Explanality-Kaggle