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mahmoud zaher's Projects

aind2-cnn icon aind2-cnn

AIND Term 2 -- Lesson on Convolutional Neural Networks

analyze-a-b-test-results icon analyze-a-b-test-results

A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these For this project, you will be working to understand the results of an A/B test run by an e-commerce website. Your goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.

breast_cancer icon breast_cancer

The problem is that microscopic images is difficult for doctors to understand rather than mammography which is very common type of x-ray in breast cancer , so what I tried to do is to build a model that can understand shape of cancer and try to see the

data-analysis-professional icon data-analysis-professional

The Program contained 3 projects: Explore US bikeshare data, Wrangle and Analyze data , Conquer the freelancing marketplaces

finding_donors_for_a_charity icon finding_donors_for_a_charity

Comparing Random Forest, Gradient Boosting, and XGBoost to select the best model to predict potential donors for a Charity.

flask icon flask

Flask is a web-frame work for developing web applications in Python.This Repository contained all the materials related to web applications.

fruit-classification icon fruit-classification

Rotten and fresh Fruit classification Model works for only (Banana and Orange) which are 4 classes.

fruit-classification-3 icon fruit-classification-3

Rotten and fresh Fruit classification Model works for only (Banana , Apple and Orange) which are 6 classes.

grand-challenge.org icon grand-challenge.org

A platform for end-to-end development of machine learning solutions in biomedical imaging

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

mprnet icon mprnet

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

no_show_appointments- icon no_show_appointments-

dataset of 110.527 medical appointments and its 14 associated variables (characteristics). describe attendence of patients and if they show up or not and what features could affect that

post-classify icon post-classify

post classifing based on bag of words technique and natural language processing steps to classify post in social media into alot of categories

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