Photo by Paweł Czerwiński on Unsplash

The nature of an asset’s liquidity is critical to understand for an investor, and it’s no different in the decentralized world of finance & investment.

As well, isa critical factor to the long-term success of exchanges, which help make up the infrastructure for buying & sharing crypto assets.

as it relates to DeFi, a crypto segment within which — as of today — more than $42 Billion USD is currently locked?

(If you aren’t sure what means in the context of DeFi, do take a look…

Photo by Tolga Ulkan on Unsplash

Two of the most important components to analyzing and forecasting with Time Series data are plotting — and reviewing— the Autocorrelation and Partial Autocorrelation functions.

Understanding the difference between these two calculations is the focus of this post, with the goal being to provide solid answers to the following:

  • What’s Autocorrelation?
  • What’s Partial Autocorrelation?
  • An example of ACF / PACF plotting for a time series created using Zillow housing data from 1996–2018

OK, let’s dive in.


A Quick Word On The General Purpose Of Correlation In Data Analysis

It’s useful to mention here that statistical correlation helps us to identify the…

One of the most critical elements to the success of nearly any cryptocurrency or DeFi endeavor is in how it approaches tokenomics.

It’s useful to think of tokenomics as the

It can impact user adoption, token valuation and more.

In much the same way a country’s monetary policy impacts the usage, value and more of its currency.

In this post, we’ll discuss the token distribution and (launch period) rewards system for BIOPset, the world’s first decentralized binary options trading platform offering on speculator funds.

(It’s underlying asset is Ethereum…

One is true. The other is false. | image credit: John Robert Marasigan

After completing my most recent data science project, where I was asked to create a classification model, I thought it would be helpful to create a reference guide on the Confusion Matrix, with a focus on the important terms relating to this highly-important tool.

Throughout the modeling process — whether KNN, Decision Trees, Random Forests, XGBoost, etc. — I found myself relying on the Confusion Matrix for a simple & sound way to measure the performance of a respective algorithm.

Indeed, there are more ways to measure performance, but for this post I’ll be focusing on the Confusion Matrix.


Photo by Külli Kittus on Unsplash

NOTE: If you want to get right into the tepwise addition questions, please scroll down a bit :)

While in my part-time online data science program through Flatiron School, it’s been both challenging and rewarding to complete my first full, realand professional data science project.

I’ve often…

Two beautiful toes. Ready to dip into DeFi.

Decentralized Finance, or DeFi, is a (not so) new development in the crypto world, and if you’re reading this, you’re probably wondering about it.

Hopefully this toe-dipping guide helps.

*** You won’t find any investment advice here, however.***

The goal of this post is to attempt (!) to answer the following questions (for you and for me) so as to educate ourselves about the wonderful (?) world of decentralized finance:

  1. What is DeFi?
  2. What’s the purpose of DeFi?
  3. What’s one interesting protocol in…

“When all you have is a hammer, everything looks like a nail.” — Abraham Maslow

Here’s what I’m thinking these days:

Beyond so many other definitions and/or descriptions, data science is a .

But, it’s also a .

One of these tools is Python.

It’s one of the best tools to have in one’s data science toolbox.

But, Python is both tool and toolbox.

And even though my data science learning journey is still just beginning, I’m realizing how important one of these particular tools is which can be found inside the (well-equipped) Python toolbox.


2.5 quintillion bytes of data were created every single day back in 2018, with this number having grown since then.

I’d say this is all the reason one needs to study data science.

But I have other reasons.

Back in 2017, after four years of teaching ESL in South Korea, I decided it was time to transition into work I felt was more aligned with the impact I wanted to have going forward.

The majority of cryptocurrencies are built on the blockchain. In this article, I discussed why one ought to be more excited about blockchain — and not bitcoin — due to the power of distributed ledger technology. Blockchain is just example of distributed ledger technology.

Hashgraph is another, and it might be the biggest threat to the blockchain.

Blockchain vs. Hashgraph

Here, a description of Hedera hashgraph, from their website:

Marvin Lee

Copywriter & Website specialist | practicing ma’at & meditation | Student of data science & decentralization

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