Code Zero VS Scikit-learn

Compare Code Zero VS Scikit-learn and see what are their differences

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Code Zero

Code Zero is a rich-featured Kubernetes platform for quickly and easily delivering cloud-native software solutions to perform various operations like integrating Debugging, testing, building, containerizing, and others.

Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Landing page //
2023-09-16

Landing page //
2022-05-06

Code Zero compared to Cruising Chute

Scikit-learn videos

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Learning Scikit-Learn (AI Adventures)

Category Popularity

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Marketing Platform

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Data Science And Machine Learning

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Data Science And Machine Learning

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CRM

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Data Science Tools

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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Code Zero and Scikit-learn

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Scikit-learn Reviews

15 data science tools to consider using in 2021

Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Scikit-learn might be a bit more popular than Code Zero. We know about 28 links to it since March 2021 and only 20 links to Code Zero. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Code Zero mentions (20)

Marty Weiner - ex-Reddit CTO - why CodeZero?
DISCLAIMER - I have no commercial affiliation with codezero.io - I just know some of the guys and I'm kind of a fan. Source: 12 months ago
Local development set up for microservices with Kubernetes - Skaffold
Hi there. Have you tried https://codezero.io? That's exactly what we help accomplish. Source: 12 months ago
Will Koblime void my warranty?
Yes, Koblime costs money to operate (~$200/mo) and I appreciate every one of my supporters but realistically, Koblime is supported by my day job at https://codezero.io. My interests are in embedded software and cloud computing and Koblime has been a really nice creative outlet for me. If hosting costs become too much of a worry, I can reach out to friends at Google or Microsoft and get some free startup credits as... Source: over 1 year ago
What to do when developer asks for connecting his debugger to container?
You can also use https://codezero.io intercept to debug containers locally. Source: over 1 year ago
hi I'm wondering what kind of apps you use most and are useful in the cluster? for myself it is kubeapps and am now discovering argocd in combination with linkerd.
Https://codezero.io for local+remote collaborative development. Source: almost 2 years ago

Scikit-learn mentions (28)

How to Build a Logistic Regression Model: A Spam-filter Tutorial
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 2 months ago
Link Prediction With node2vec in Physics Collaboration Network
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: 12 months ago
PSA: You don't need fancy stuff to do good work.
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
Help on using R for Machine Learning?
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago