mGalarnyk/AccidentsDatasetJupyter Notebook
Nearly 3 million rows of auto accidents in the USA over several years. I'm trying to do a barplot race....
(2 stars) (3 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
リポジトリ
mGalarnyk のリポジトリ
mGalarnyk/DSE200_Python_for_Data_AnalysisJupyter Notebook
Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)
(102 stars) (85 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
mGalarnyk/DSE201_Database_Management_SystemsJupyter Notebook
Database Management Systems Data Science Masters Course (DSE 201)
(12 stars) (9 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
mGalarnyk/DSE210_Probability_Statistics_PythonJupyter Notebook
Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
(181 stars) (126 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
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.
(54 stars) (38 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
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.
(34 stars) (22 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
mGalarnyk/DSGO_IntroductionScikitLearnJupyter Notebook
(24 stars) (10 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Interview stuff for friends
(84 stars) (63 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
mGalarnyk/EvoTDPython
(0 stars) (0 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
mGalarnyk/Installations_Mac_Ubuntu_WindowsJupyter Notebook
Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).
(235 stars) (163 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
mGalarnyk/LMs-Perceive-Social-NormsJupyter Notebook
(0 stars) (0 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Resources for my LinkedIn Learning Courses
(1 star) (0 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
mGalarnyk/MGT6090_Assignment-8Jupyter Notebook
GitHub Repo for MGT-6090 Assignment 8 BHC.
(0 stars) (1 fork) (0 件の索引済み issue) (0 件のオープンな good first issue)
mGalarnyk/MLModelsScikit-LearnJupyter Notebook
(7 stars) (3 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
mGalarnyk/Machine_Learning_CourseraJupyter Notebook
Coursera machine learning specialization coursework (python based, University of Washington).
(18 stars) (20 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
mGalarnyk/Machine_Learning_FroyoJupyter Notebook
(3 stars) (6 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
mGalarnyk/Python_TutorialsJupyter Notebook
Python tutorials in both Jupyter Notebook and youtube format.
(1,256 stars) (1,133 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
mGalarnyk/ShinghoPython
Shingho is a PySpark based statistical library designed for Big Data applications.
(1 star) (1 fork) (0 件の索引済み issue) (0 件のオープンな good first issue)
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.
(9 stars) (4 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
mGalarnyk/UCSD_EXT_Data_Analytics_PythonJupyter Notebook
Legally allowable public portion of the UCSD Extension course: Data Analytics Using Python (CSE-41204)
(7 stars) (4 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)