2018.08.25. 데이터 사이언스 뉴스레터

데이터 사이언스 뉴스레터 (wordcloud)

Data Notes: Drought and the War in Syria
Keyword(freq): beginner(1), dataset(1), example(1), kernel(1), newsletter(1), package(1), right(1), statistics(1), tweet(1), NA(NA)
Getting Started with Competitions - A Peer to Peer Guide
Keyword(freq): competition(8), other(7), file(6), model(6), scientist(6), variable(5), thousand(4), feature(3), kernel(3), project(3)

The Ultimate Data Science and Machine Learning Blogathon <U+2013> More than $2500 up for grabs!
Keyword(freq): analytics(6), article(6), fan(3), prize(2), standard(2), blogger(1), bonus(1), category(1), detail(1), draft(1)
A Hands-On Guide to Automated Feature Engineering using Featuretools in Python
Keyword(freq): feature(31), featuretool(14), sale(6), primitive(5), table(5), mark(4), title(4), variable(4), item(3), value(3)
A Practical Introduction to K-Nearest Neighbors Algorithm for Regression (with Python code)
Keyword(freq): point(11), value(10), algorithm(3), problem(3), article(2), feature(2), method(2), prediction(2), question(2), sale(2)
Launching Analytics Vidhya’s Medium Publication and AV Editor’s club!
Keyword(freq): benefit(3), analytics(2), creator(1), editor(1), effort(1), framework(1), idea(1), meetup(1), point(1), professional(1)
DataHack Radio Episode #8: How Self-Driving Cars Work with Drive.ai’s Brody Huval
Keyword(freq): car(9), approach(2), camera(2), lane(2), network(2), object(2), project(2), sensor(2), street(2), technique(2)

How to Model Volatility with ARCH and GARCH for Time Series Forecasting in Python
Keyword(freq): model(9), change(5), error(5), step(5), variance(4), parameter(3), plot(3), value(3), example(2), increase(2)
4 Common Machine Learning Data Transforms for Time Series Forecasting
Keyword(freq): transform(11), value(9), operation(6), coefficient(5), prediction(5), method(4), result(4), algorithm(2), comment(2), estimate(2)
A Gentle Introduction to Exponential Smoothing for Time Series Forecasting in Python
Keyword(freq): method(9), observation(9), forecast(6), principle(6), statsmodel(6), coefficient(5), value(5), parameter(4), thank(4), hyperparameter(3)