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Yogesh Khatris forensic blog

Lightweight saved posts and comments manager and organizer for Reddit

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Facebook Messenger WhatsApp and Instagram chat analyzer Visualize word clouds send and receive ratios timelines message delay and double texting

Personal knowledge wiki

Home Forums The Lost Media Wiki

JonLucas Blog A blog about tech programming and finance

A blog about Programming DIY and personal ramblings

GitHub provides several timeline resources in Atom format Thats how I get the latest info about projects that I follow and their fixed bugs and new features Some of the official RSS feeds are

This is what happens when technologyall technologyfinally fails

Integrity Data Insights helps businesses dominate their data and drive results with business intelligence and data transformation solutions

Before I get to the coding part heres a short background story about how I ended up trying to master the messy art of analyzing a conversation on iMessage using Python Ive always been the type of

Learn the most common SMS metrics and how to track them

Structured data is organized while unstructured data is raw Learn more about the differences between structured and unstructured data in this guide

Text analysis is a machine learning technique used to automatically mine valuable insights from unstructured text data With text analysis companies can extract actionable insights from their text data

Diving into your own data can bring up some interesting insights about your relationship and improve it get inspired here how to get it going

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utam0k

wORdPRes5

I'm a software engineer in Seoul.

Just a quick post on how to watch out for some small gotchas when using Task, async and await. No big revelations, just understand what you mean when you run a Task.

A developers blog

More thoughts from a member of the Entity Framework team.

Front-end @hackerrank | opensource

I make videos about applied machine learning, deep learning, and data science. I am the world's first Quadruple Grand Master on Kaggle. My code-intensive book, "Approaching (Almost) Any Machine Learning Problem" can be downloaded for free from: https://bit.ly/approachingml. If you like it you can also buy paperback copies :) Feel free to contact me for sponsorships, unboxing, etc.