Pinned Repositories
LMs-Perceive-Social-Norms
datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
DataScienceInterview
Interview stuff for friends
DSE200_Python_for_Data_Analysis
Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)
DSE210_Probability_Statistics_Python
Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
DSE220_Machine_Learning
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.
Installations_Mac_Ubuntu_Windows
Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).
Python_Tutorials
Python tutorials in both Jupyter Notebook and youtube format.
mGalarnyk's Repositories
mGalarnyk/datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
mGalarnyk/Python_Tutorials
Python tutorials in both Jupyter Notebook and youtube format.
mGalarnyk/Installations_Mac_Ubuntu_Windows
Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).
mGalarnyk/DSE210_Probability_Statistics_Python
Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
mGalarnyk/DSE200_Python_for_Data_Analysis
Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)
mGalarnyk/DataScienceInterview
Interview stuff for friends
mGalarnyk/DSE220_Machine_Learning
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.
mGalarnyk/DSE230_Data_Analysis_Using_Hadoop_and_Spark_UCSD
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.
mGalarnyk/DSGO_IntroductionScikitLearn
mGalarnyk/Machine_Learning_Coursera
Coursera machine learning specialization coursework (python based, University of Washington).
mGalarnyk/DSE201_Database_Management_Systems
Database Management Systems Data Science Masters Course (DSE 201)
mGalarnyk/Tutorial_Data
This is a repo to keep the data for my tutorials. This is to make it so people dont need a Kaggle account and such as much as possible.
mGalarnyk/UCSD_EXT_Data_Analytics_Python
Legally allowable public portion of the UCSD Extension course: Data Analytics Using Python (CSE-41204)
mGalarnyk/algorithms
Minimal examples of data structures and algorithms in Python
mGalarnyk/Machine_Learning_Froyo
mGalarnyk/AccidentsDataset
Nearly 3 million rows of auto accidents in the USA over several years. I'm trying to do a barplot race....
mGalarnyk/data.table
R's data.table package extends data.frame. HOMEPAGE:
mGalarnyk/ggfortify
Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.
mGalarnyk/LinkedInLearningResources
Resources for my LinkedIn Learning Courses
mGalarnyk/mgalarny
DSE 2015
mGalarnyk/mGalarnyk.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
mGalarnyk/Shingho
Shingho is a PySpark based statistical library designed for Big Data applications.
mGalarnyk/snowflake-arctic
mGalarnyk/web_development
New repo for my web development certificate through UCSD extension. I am looking forward to the new courses!
mGalarnyk/MGT6090_Assignment-8
GitHub Repo for MGT-6090 Assignment 8 BHC.
mGalarnyk/LMs-Perceive-Social-Norms
mGalarnyk/modin
Modin: Speed up your Pandas workflows by changing a single line of code
mGalarnyk/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.