TinyURL Reviews

Scikit-learn Reviews

TinyURL mentions (6)

• 🔐 Design a TinyURL System (Like Bit.ly) — From Scratch

  Import string Class TinyURL: def __init__(self): self.url_to_code = {} self.code_to_url = {} self.counter = 1 self.alphabet = string.ascii_letters + string.digits def encode_base62(self, num): base = 62 chars = [] while num > 0: num, rem = divmod(num, base) chars.append(self.alphabet[rem]) return... - Source: dev.to / 12 months ago

• URL shorteners and why would you need one?

  Choose a shortener: Pick a link shortener that fits your needs---many offer options like custom branding, QR code creation, and analytics. Ziplink, Short.io, and Bitly are all capable of that. If you are looking for something really simple, you may want to check out TinyURL as well. - Source: dev.to / over 1 year ago

• Building a Scalable URL Shortener with Node.js (Part 1/2)

  I'm sure you're familiar with URL shortener tools like TinyURL and Bitly, as they are widely used online. It simply takes a long URL and creates a shorter, unique alias that redirects to the original link. - Source: dev.to / almost 2 years ago

• More "J3w World Order" disinfo spread online

  u/Migmag360 The reason your post cannot be posted and/or approved by us is because it contains a Bitchute link--which reddit bans. You have to mask the link using TinyURL. And then re-post it again with the new link instead. Source: over 3 years ago

• Does the Atomic Bomb exist? Part 2

  u/fedx0 I have approved this post, the reason it's still banned by Reddit is because of the Bitchute links, you cannot post Bitchute links on Reddit. If you remove the links to Bitchute, or disguise the Bitchute links using TinyUrl and re-post the article, then it should be fine. If not then you will have to post the article somewhere else, then post the link to it on here instead. Source: almost 4 years ago

Scikit-learn mentions (40)

• Detecting Ingress Tool Transfer (T1105) with Python

  Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 1 month ago

• Best AI Cybersecurity Training for Security Teams: How to Pick

  Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago

• Where to Get Hands-On AI Training for Cybersecurity Professionals

  Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 2 months ago

• How Anomaly Detection Actually Works in Security Operations

  Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago

• Building a Personalized Meal Recommendation System

  In practice, you’ll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 5 months ago