Oxylabs Reviews

Scikit-learn Reviews

Oxylabs mentions (11)

• Python vs Go vs Java vs Ruby: Picking the Right Language for Production Web Scraping

  Enterprise proxy providers like Bright Data and Oxylabs offer large shared mobile pools that work well for high-volume data collection. For scraping workflows that need dedicated IPs with longer session stability and programmatic proxy management, smaller specialized providers like VoidMob offer dedicated mobile proxies on carrier infrastructure with MCP server access for agent-level control over rotation and... - Source: dev.to / 7 months ago

• How Rotating Mobile Proxies Are Transforming Data Collection: A 2025 Comparison of the Top Providers

  The Mobile Proxies of Oxylabs provide reliability and performance for the more established markets. Their offerings are suitable for well-structured and predictable workloads. Their pricing scheme indicates their enterprise solution offerings. - Source: dev.to / 8 months ago

• Cheap Residential Proxy: Affordable and Reliable Proxy Service for Anonymous Browsing

  Utilize Residential Proxies: Residential proxies come with the advantage of having whitelisted IPs tied to real devices, making them reliable for web scraping and anonymous browsing. Providers like Oxylabs, SOAX, and NetNut offer residential proxy services that can cater to your specific needs. Source: almost 3 years ago

• Scraping with puppeteer and export in JSON format

  To begin scraping data, you have to decide which platform data you want to scrap. While it is easy to scrap data, some platforms prevent access to scraping of it data and you will have to use a third-party tool like ZenRows or Oxylabs just to mention a few. - Source: dev.to / almost 3 years ago

• Best Proxy Website? Reddit recommendations?

  Have you tried Oxylabs? They have both residential and datacenter proxies. But I’ve heard their speed is not that great, so do your research. Source: over 3 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 / 3 months 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 / 4 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 / 4 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 / 4 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 / 6 months ago