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This article series consists of two parts. The first part aims to introduce users to the fundamental components of a time series, explaining its constituents. I

Plunging Into Data: Unraveling Time Series Patterns

The Amazon rainforest (ARF) is threatened by deforestation and climate change, which could trigger a regime shift to a savanna-like state. 

Loss of Amazon Rainforest Resilience: Author Contributions

Loss of Amazon Rainforest Resilience: Materials and Methods

Master key time series feature engineering techniques to enhance predictive models in finance, healthcare & more with our comprehensive guide.

Must-Know Base Tips for Feature Engineering With Time Series Data

On the Origin of Species 1st Edition by Charles Darwin is part of HackerNoon’s Book Blog Post series. 

Geological Distribution Part II

This Slogging thread by David, Linh, Ellen, Hang, Utsav Jaiswal, Bruno Molteni and Sidra Ijaz occurred in hackernoon's official #only-at-hackernoon channel, and has been edited for readability.

Slogging Definition: Publish Remote Watercooler Moments

Easy Data Visualization with AutoViz [Maybe Just a Quick One]

Want to make money in your sleep? Automated trading may be the perfect fit for you! This discipline of trading involves breaking your strategy down into a series of entry and exit rules using technical indicators and live market data. Once this is done, a program will monitor live price data from crypto exchanges and make trades based off your defined rules. Fortunately, there are many <a href="https://www.cryptotrader.tax/trading/crypto-trading-bots/" target="_blank">professional tools</a> that make this entire process much easier than it sounds!

5 Reasons Why You Should Automate Your Crypto Trading Strategy

As the proverbial hits the fan about “<a href="https://www.ft.com/content/f369e670-2ac3-11e8-9b4b-bc4b9f08f381" target="_blank">Steve Bannon’s psychological warfare mindfuck tool</a>,” the lessons we’re learning about humanity’s evolution are great news — if you’re willing to look at the bigger picture. In order to explain what I mean by this, I’m first going to have to spend a few minutes laying out what’s missing from most of the reporting of the <a href="https://hackernoon.com/tagged/facebook" target="_blank">Facebook</a> scandal, how society (and specifically democracy) works, how our collective intelligence is evolving and why the emergence of <a href="https://hackernoon.com/tagged/blockchain" target="_blank">blockchain</a> technologies is perfect timing. Finally, I’ll lay out what — specifically — we can learn about data ownership, data usage and the functioning of a blockchain-driven society.

Why the Facebook/Cambridge Analytica Data Scandal is Awesome News

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Plunging Into Data: Unraveling Time Series Patterns

Loss of Amazon Rainforest Resilience: Author Contributions

Loss of Amazon Rainforest Resilience: Materials and Methods

Must-Know Base Tips for Feature Engineering With Time Series Data

Geological Distribution Part II

Slogging Definition: Publish Remote Watercooler Moments

Easy Data Visualization with AutoViz [Maybe Just a Quick One]

5 Reasons Why You Should Automate Your Crypto Trading Strategy

Why the Facebook/Cambridge Analytica Data Scandal is Awesome News

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