Ahmed's repositories
pycon2020
Natural Language Processing (NLP) in Python tutorial given for PyCon 2020 remote conference.
highway-env
A minimalist environment for decision-making in autonomous driving
backdoor-learning-resources
A curated list of backdoor learning resources
awesome-rl-for-cybersecurity
A curated list of resources dedicated to reinforcement learning applied to cyber security.
Traing-Custom-Environments-Snake-by-SB3
Traing Custom Environments (Snake) by SB3:Reinforcement Learning with Stable Baselines 3
Training_LunarLander_by_SB3
Training lunar lander Environment by SB3 PPO and A2C algorithms
Yolo_V5_penguin
Apply Yolo V5 s on customized dataset for penguin to detect penguin from video
OpenCV_Face-and-Eyes-Detection
Two Examples on how to detect faces and eyes detection from image and Webcam
OpenCV-and-Small-Projects
Basic Functions in OpenCV along with Small Projects
adversarial-policies
Find best-response to a fixed policy in multi-agent RL
Stock-Market-Data-And-Analysis
Showing and Doing Quick analysis for Stock Data for different big companies such as Facebook, Google, Apple, and Microsoft by using Python libraries called yfinance and streamlit
PySpark-activities-and-Projects
PySpark activities and Projects
Iris-Flower-Dataset-Classification
Iris Flower Dataset Classification : Firstly i conducted Exploratory Data Analysis, then, i conducted training and Fitting by using different Classifiers: Descision Tree, KNeighbors, XGBoost and Random FOrst
EDA-Basketball-App-with-streamlit
Creating Application for EDA Basketball with streamlit
EDA-Basketball-with-streamlit
Create Application for Basketball dataset by using streamlit
Python-Codes-Eamples
Good Different small Examples, Questions from different Webset
Sales-Analysis_-Panda
Doing analysis and data exploration on data contains thousands of electronics store purchases to answer some business questions such as What was the best month for sales? How much was earned that month? What products are most often sold together? and others, using pandas, and matplotlib.
FIFA-2019-Kaggle-
Data Exploration and analytics - FIFA 2019: Conducting analysis for Kaggle for dataset FIFA19. The following tasks are addressed during assignment: Exploratory Data Analysis, Clustering Analysis, and identify the position profiles of each cluster and Classification Analysis, and evaluate the performance of different algorithms using cross validation, using numpy, pandas, matplotlib, pyspark, Kmeans, RandomForestClassifier, Logistic Regression, DecisionTreeClassifier and other python packages.
A-Survey-of-Data-Scientists-Kaggle-
Data Exploration: A Survey of Data Scientists: Aims to conduct some required analysis and text analytics on Kaggle dataset that was collected in 2017 by conducting a survey on a large range for data scientists. This survey contains some information about data scientists like their skills, demographic and other information.
Time-Series-Forecasting-Algorithms
Different Time Series Forecasting Algorithms:
Forecasts-of-emergency-department-demands
Project aims to predict the emergency department attendances of patients in rural hospitals of Queensland.
awesome-adversarial-examples-dl
A curated list of awesome resources for adversarial examples in deep learning
motion_magnification
An unofficial implementation for https://people.csail.mit.edu/tiam/deepmag/
Awesome-AI-Security
:file_folder: #AISecurity