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Mkhuseli Mthukwane
  • Male
  • Pretoria, Gauteng
  • South Africa
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Mkhuseli Mthukwane's Page

Profile Information

Short Bio
Mkhuseli is an Entrepreneur and Founder of Lex Quantus Analytics, a Data Science Firm that provides Data Analytics services to the Legal Industry. L.Q Analytics also provides Metrics for Quantitative Legal Analysis to the Data Science Field. Mkhuseli is also the Lead Facilitator at Quantum Data Works, which provides Data Science Workshops for Legal Professionals.
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Professional Status
Years of Experience:
Your Company:
Lex Quantus Analytics, Quantum Data Works
Legal Data Science
Your Job Title:
Founder, Lead Facilitator
How did you find out about DataScienceCentral?
Networking, New venture
What is your Favorite Data Mining or Analytical Website?
What Other Analytical Website do you Recommend?

Mkhuseli Mthukwane's Blog

Judgements: A Potential Threat To Models Everywhere

Posted on August 28, 2017 at 2:30am 1 Comment

Data Science and Law are in a lot of ways vastly different; however they do have a few things in common: both professions rely heavily on historical data and patterns . Certain supervening phenomena can cause a break in these patterns; these distinct deviations from a learned practice (either by a machine learning algorithm or through pure human experience) can be problematic.

Those of us in Legal Modelling know that when building and maintaining models we are constantly looking…


Using Genetic Algorithms to Optimize Legal Costs

Posted on May 5, 2016 at 9:00am 0 Comments

Using the Genalg Package in R to optimize Legal Fees. This is a Lesson from our Data Science for Lawyers Workshops (Moderately Advanced).

We'd appreciate any Feed Back, especially from non-Lawyers!.

Click here to see…


Correlation Coefficient in Legal Data

Posted on February 1, 2016 at 11:04am 0 Comments


This is a lesson  from one of our Data Science for Lawyers Workshops (Moderately Advanced). It is part of our Quantative Analysis in…


Data Transmutation vs. Data Analytics: Round 1

Posted on September 29, 2015 at 11:13am 0 Comments


I became a Data Science practitioner in probably the most peculiar, counter-intuitive way of becoming one. Before being confronted by the embroidered Python or R dilemma, before being exposed to Data Analytics Platforms, Math and Statistical theory; I concerned myself primarily with what I can best…


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