vitaliyradchenko Goto Github PK

adv_data

practise

apm_exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

assignment6

bnp-kaggle-kiev-training

data-products

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

data.table

R's data.table package extends data.frame. More info:

datascience-swiss-knife

Set of common tools and techniques for everyday data science tasks with examples

datasciencecoursera-

datasharing

The Leek group guide to data sharing

dplyr_doc_ru

Перевод документации по dplyr

getting-and-cleaning-data

homedepot

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

kiev-kaggle-trainings

machine-learning

Project

master_question_answering

UCU master work (question answering)

mlcourse_open

Репозиторий открытого курса OpenDataScience по машинному обучению

mydeck

Publishing slidify

nbu_project

What determines a bank's health?

nlp-course

NLP course

out-of-fold-predictions

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

projector_course

projector_course_work

Final ml project

r-tutorials

Приложения к книге "Статистический анализ и визуализация данных с помощью R"

r_snippets

R Scripts for general data analysis and plotting

rd-nlp-course

Robot dreams. NLP, Deep Dive.

reproducible-research

stepic_neural_networks_public

Дополнительные, вспомогательные и вообще разные материалы к курсу «Нейронные сети» на Stepic.Org