Projects in Awesome Lists by AhmedMMahrous

https://github.com/ahmedmmahrous/ahmedmmahrous

Config files for my GitHub profile.

config github-config

Last synced: 07 Nov 2024

https://github.com/ahmedmmahrous/predict-prices-of-airline-97.5-a-cc-

https://www.kaggle.com/ahmedmohamedmahrous/airline-tickets-prediction-97-5-acc

algorithms machine-learning python seaborn supervised-learning

Last synced: 07 Nov 2024

https://github.com/ahmedmmahrous/titanic-solution-ml

Exploring and Analyzing Data about Titanic passengers ,Then find solutions to predict People surviving this trip.

Last synced: 07 Nov 2024

https://github.com/ahmedmmahrous/prediction-status-of-chronic-kidney-disease

Prediction , Does the person have chronic kidney disease through a set of data collected on infected and non-infected persons?

Last synced: 07 Nov 2024

https://github.com/ahmedmmahrous/google-play-store-eda-rating-prediction-

Last synced: 07 Nov 2024

https://github.com/ahmedmmahrous/classification-bankers-in-the-bank-deep-learning-

This collected data on Bank clients, and I analyzed the data, statistically analyzed and extracted very important information, and then I built a neuron that predicts Will the customer leave the bank or not?

Last synced: 07 Nov 2024

https://github.com/ahmedmmahrous/diabetes-disease-prediction

classification data data-science data-visualization exploratory-data-analysis machine-learning python statistics

Last synced: 07 Nov 2024

https://github.com/ahmedmmahrous/my-dashboard

Making dashboard that show sales for customers performance using Tableau

Last synced: 07 Nov 2024

https://github.com/ahmedmmahrous/hotel-bookings-prediction

Prediction the hotel booking. Project descriptionPrediction the hotel booking whether : booking is going to cancel or not with ML classification models.

Last synced: 07 Nov 2024

https://github.com/ahmedmmahrous/eda-prediction-house-price

Exploring and Analyzing Data about House Prices ,Then find solutions to Predict the final price of each home.

Last synced: 07 Nov 2024

https://github.com/ahmedmmahrous/breast-cancer-idc-deep-learning

Inasive ductal carcinoma (IDC) is - with ~ 80 % of cases - one of the most common types of breast cancer. It's malicious and able to form metastases which makes it especially dangerous. Often a biopsy is done to remove small tissue samples. Then a pathologist has to decide whether a patient has IDC, another type of breast cancer or is healthy. In addition sick cells need to be located to find out how advanced the disease is and which grade should be assigned. This has to be done manually and is a time consuming process. Furthermore the decision depends on the expertise of the pathologist and his or her equipment. Therefor deep learning could be of great help to automatically detect and locate tumor tissue cells and to speed up the process. In order to exploit the full potential one could build a pipeline using massive amounts of tissue image data of various hospitals that were evaluated by different experts. This way one would be able to overcome the dependence on the pathologist which would be especially useful in regions where no experts are available.

Last synced: 07 Nov 2024