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JZ Lu
JZ Lu

39 Followers

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Published in Towards Data Science

·Jun 3, 2021

Using Prophet after COVID? Read this first.

How to deal with COVID’s impact on time series data? Additive vs Multiplicative, which one to choose? How to deal with Non-daily data? — Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. …

Prophet

8 min read

Using Prophet after COVID? Read this first.
Using Prophet after COVID? Read this first.
Prophet

8 min read


Published in Towards Data Science

·Jun 2, 2020

Aggregation, Transform, Filter — How and When to use them?

Pandas: From Journeyman to Master — Voice from the victim. — In case you’re wondering, when I say “victim”, it’s because I’m too spoiled by the capabilities of Pandas until I meet Aggregation, Transform, Filter, who gave me some hard time understanding the mechanisms under the hood. After devoting some time digging into it, I have a much better understanding of it…

Data Science

3 min read

Aggregation, Transform, Filter — How and When to use them?
Aggregation, Transform, Filter — How and When to use them?
Data Science

3 min read


Published in Towards Data Science

·May 14, 2020

A Very Precise & Fast Way to Pull Google Trends Data Automatically

A one-stop-shop script to automatically pull google trends by exact keywords using Pytrends COVID-19 has provided a boon for “Google Trends” usage in the U.S. (see chart below). After all, it’s a free publicly available tool that provides access to actual search requests across google search engine. …

Google Trends

5 min read

A Very Precise & Fast Way to Pull Google Trends Data Automatically
A Very Precise & Fast Way to Pull Google Trends Data Automatically
Google Trends

5 min read

JZ Lu

JZ Lu

39 Followers

Sr. Data Scientist @ Amazon|Love earth & space

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