Name: Mohamed Ahmed Salman
Type: User
Company: Si-Ware Systems
Bio: Machine Learning /SW Engineer | Data Scientisi who's passionate about Deep/Machine learning, Computer Vision and Natural language processing.
Location: Nasr City, Cairo, Egypt
Blog: https://www.linkedin.com/in/mohamed-ahmed-salman-147816124
Mohamed Ahmed Salman's Projects
Kaggle competition. You are given information about the environment of the car crash and you're required to predict the severity of the crash out of 4 level. The predictive system is already built but it needs some data of good quality. You need to prepare the dataset and train the prediction systems. This predictive system will be helpful to anticipate the resources to engage by San Francisco Municipality depending on its severity.
Python crash courses exercises on DataCamp
A project on file I/O and java collections
Text classification on job description dataset
Python Linear Algebra exercise on matrix inversion 2X2 and 3X3
You are provided hourly rental data along with weather data. For this competition, the training set is comprised of the first 20 days of each month, while the test set is the 21th to the end of the month. You must predict the total count of bikes rented during each hour covered by the test set, using only information available prior to the rental period.
Strings and file IO exercise java
Wuzzuf dataset survey