Software Alternatives, Accelerators & Startups

Scikit-learn VS Bloc.io

Compare Scikit-learn VS Bloc.io and see what are their differences

Scikit-learn logo Scikit-learn

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

Bloc.io logo Bloc.io

Learn to code and become a web developer in Ruby on Rails, HTML, CSS, Javascript, and jQuery in Bloc's Intense Online Web Development Apprenticeship.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Bloc.io Landing page
    Landing page //
    2023-09-28

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Bloc.io videos

Bloc.io UX Bootcamp Review Pt 1 | Does it really help get a job after? (2019)

Category Popularity

0-100% (relative to Scikit-learn and Bloc.io)
Data Science And Machine Learning
Online Learning
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Online Courses
0 0%
100% 100

User comments

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Reviews

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

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...

Bloc.io Reviews

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Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than Bloc.io. While we know about 29 links to Scikit-learn, we've tracked only 1 mention of Bloc.io. 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.

Scikit-learn mentions (29)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 22 days ago
  • 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 / 4 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 / about 1 year 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: about 1 year 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
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Bloc.io mentions (1)

  • Best Bootcamp
    From an Online bootcamp's perspective: I did bloc.io Online program, which was later swallowed into the Thinkful's part time online program ($9500). Right now, Today, I would rather enroll in Codecademy Pro ($128 / year currently if you are a student) and go through Full Stack Engineer program. I am helping a new coder who's enrolled in this and it's very similar (if not better) to the bloc program I did. I wish I... Source: almost 3 years ago

What are some alternatives?

When comparing Scikit-learn and Bloc.io, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

GoSkills - GoSkills offers bite-sized business courses.

OpenCV - OpenCV is the world's biggest computer vision library

Codeplace - Learn how to code by building real web apps

NumPy - NumPy is the fundamental package for scientific computing with Python

Linux Foundation Training - Linux Foundation Training is a complete web-based platform that offers you advanced-level and updated courses and tutorials to learn the developing and programming skills.