sanaamironov
PhD student in Computer Science at @umbc, my focus is on exploring the exciting world of data, data privacy, cybersecurity, and data science.
Washington, DC
Pinned Repositories
ais_track
CMSC-491-Data-Science
Data science is an evolving and interdisciplinary field that involves extraction of knowledge from both structured and unstructured data as well as efficient management of those data. It uses techniques and theories drawn from many different fields such as statistics, mathematics, computer science, social science etc.
CMSC478-MachineLearning
This course covers fundamental concepts, methodologies, and algorithms related to machine learning taught by Fereydoon Vafaei
COVID19-Literature-Clustering
Let's cluster similar research articles together to make it easier for health professionals to find relevant research articles, and responde to rapidly spreading COVID-19 promptly.
Data-603-Platforms-for-Big-Data-Processing
The goal of this course is to introduce methods, technologies, and computing platforms for performing data analysis at scale.
Data-Challenge-2020
Health Information data analysis project for the UMD Data Challenge 2020. Data Exploration for a Sustainable Planet.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
IBM-Workshop
MNIST-Classification
The MNIST handwritten digit classification problem is a standard dataset used in computer vision and deep learning. a random 28x28 image – each pixel is randomly black, white or some shade of gray. The result is that random points look like noise.
UMD_Challenge_22
Veo E-Scooter Sidewalk Usage
sanaamironov's Repositories
sanaamironov/UMD_Challenge_22
Veo E-Scooter Sidewalk Usage
sanaamironov/CMSC478-MachineLearning
This course covers fundamental concepts, methodologies, and algorithms related to machine learning taught by Fereydoon Vafaei
sanaamironov/Data-Challenge-2020
Health Information data analysis project for the UMD Data Challenge 2020. Data Exploration for a Sustainable Planet.
sanaamironov/ais_track
sanaamironov/CMSC-491-Data-Science
Data science is an evolving and interdisciplinary field that involves extraction of knowledge from both structured and unstructured data as well as efficient management of those data. It uses techniques and theories drawn from many different fields such as statistics, mathematics, computer science, social science etc.
sanaamironov/COVID19-Literature-Clustering
Let's cluster similar research articles together to make it easier for health professionals to find relevant research articles, and responde to rapidly spreading COVID-19 promptly.
sanaamironov/Data-603-Platforms-for-Big-Data-Processing
The goal of this course is to introduce methods, technologies, and computing platforms for performing data analysis at scale.
sanaamironov/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
sanaamironov/IBM-Workshop
sanaamironov/MNIST-Classification
The MNIST handwritten digit classification problem is a standard dataset used in computer vision and deep learning. a random 28x28 image – each pixel is randomly black, white or some shade of gray. The result is that random points look like noise.
sanaamironov/learn-python3-thw-code
The code to Learn Python3 The Hard Way
sanaamironov/Python-Maze_Solver
Using Python to solve a maze, using a recursive search algorithm.
sanaamironov/python-programming
Learn Python Interactive Tutorial
sanaamironov/R-Programming
Learning basic tutorial in R for Data science course.