Asmaa mohamed 's repositories
Awesome_CV
Awesome educational list for computer vision (plus: machine learning, deep learning and data science)
CoCa-pytorch
Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
Data-Science-Interview-Preperation-Resources
Resoruce to help you to prepare for your comming data science interviews
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
COVID_19_TRACKER
COVID_19_tracker || Data Analysis Practical Program
1000-AI-collection-tools
More than 1000 Artificial Intelligence AI-powered tools - categorized & updated
asmaamohamed1989
Config files for my GitHub profile.
awesome
😎 Awesome lists about all kinds of interesting topics
COVID-Net
COVID-Net Open Source Initiative
Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
Data_Engineering_Mentorship
Data engineering mentorship program
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Explore-bike-share
In this project, I used Python to explore data related to bike share systems for three cities Chicago, New York City, and Washington. I wrote code to import the data and answer interesting questions about it by computing descriptive statistics. I also wrote a script that takes in raw input to create an interactive experience in the terminal to present these statistics.
free-programming-books
:books: Freely available programming books
mlbookcamp-code
The code from the Machine Learning Bookcamp book
my_cv_projects
Welcome to my AI and Data Science projects repository! Here, you'll find a collection of projects showcasing my skills and expertise in artificial intelligence, machine learning, and data science. Each project is designed to address real-world problems and demonstrates my proficiency in various technologies and tools.
pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
Python
All Algorithms implemented in Python
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
shap
A game theoretic approach to explain the output of any machine learning model.