mGalarnyk Repositories

mGalarnyk/AccidentsDatasetJupyter Notebook

Nearly 3 million rows of auto accidents in the USA over several years. I'm trying to do a barplot race....

Last commit Apr 22, 2020

(2 stars) (3 forks) (0 indexed issues) (0 open good first issues)

mGalarnyk/algorithmsPython

Minimal examples of data structures and algorithms in Python

Last commit May 17, 2018

(4 stars) (15 forks) (0 indexed issues) (0 open good first issues)

mGalarnyk/data.tableC

R's data.table package extends data.frame. HOMEPAGE:

Last commit Dec 31, 2016

(1 star) (2 forks) (0 indexed issues) (0 open good first issues)

mGalarnyk/datasciencecourseraHTML

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

Last commit Feb 19, 2021

(2,257 stars) (2,083 forks) (0 indexed issues) (0 open good first issues)

mGalarnyk/DataScienceInterviewHTML

Interview stuff for friends

Last commit Jan 25, 2022

(84 stars) (63 forks) (0 indexed issues) (0 open good first issues)

mGalarnyk/DSE200_Python_for_Data_AnalysisJupyter Notebook

Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)

Last commit Aug 4, 2016

(102 stars) (83 forks) (0 indexed issues) (0 open good first issues)

mGalarnyk/DSE201_Database_Management_SystemsJupyter Notebook

Database Management Systems Data Science Masters Course (DSE 201)

Last commit Jun 26, 2016

(13 stars) (9 forks) (0 indexed issues) (0 open good first issues)

mGalarnyk/DSE210_Probability_Statistics_PythonJupyter Notebook

Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)

Last commit Aug 21, 2017

(180 stars) (124 forks) (0 indexed issues) (0 open good first issues)

mGalarnyk/DSE220_Machine_LearningJupyter Notebook

Repo for my graduate data science machine learning class at UCSD (UC San Diego). This course provides a broad introduction to the practical side of machine-learning and data analysis. The topics covered in this class include topics in supervised learning, such as k-nearest neighbor classifiers, decision trees, boosting and perceptrons, and topics in unsupervised learning, such as k-means, PCA and Gaussian mixture models.

Last commit Mar 26, 2018

(53 stars) (38 forks) (0 indexed issues) (0 open good first issues)

mGalarnyk/DSE230_Data_Analysis_Using_Hadoop_and_Spark_UCSDJupyter Notebook

Map-reduce, streaming analysis, and external memory algorithms and their implementation using the Hadoop and its eco-system: HBase, Hive, Pig and Spark. The class will include assignment of analyzing large existing databases.

Last commit Apr 3, 2017