Software Alternatives, Accelerators & Startups
Register | Login
AIW

AI Weekly VS Scikit-learn

Compare AI Weekly VS Scikit-learn and see what are their differences

Zoho CRM
Omnichannel CRM for Businesses of all sizes featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

AI Weekly logo AI Weekly

Weekly collection of the top news on Artificial Intelligence

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • AI Weekly Landing page
    Landing page //
    2023-10-23
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

AI Weekly videos

+ Add

AI Weekly Update - August 7th, 2021 (#40)

More videos:

  • Review - AI Weekly Update Overview - July 15th, 2021

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

Category Popularity

0-100% (relative to AI Weekly and Scikit-learn)

AI Weekly

Scikit-learn

Productivity
100 100%
Productivity
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Tech
100 100%
Tech
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using AI Weekly and Scikit-learn. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

AI Weekly Reviews

We have no reviews of AI Weekly yet.
Be the first one to post

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

Based on our record, Scikit-learn seems to be a lot more popular than AI Weekly. While we know about 28 links to Scikit-learn, we've tracked only 2 mentions of AI Weekly. 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.

AI Weekly mentions (2)

  • What are some places to stay up-to-date on the progress of AI and robotics?
    AI Weekly. Only a curated list of articles from other sources. Source: about 1 year ago
  • Ask HN: How do you keep up with AI advances, esp. Stable Diffusion and GPT-3?
    Mostly HN and some newsletters: - https://aiweekly.co/ - https://tldr.tech/. - Source: Hacker News / over 1 year 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 / 3 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 / 12 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: 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
  • 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: over 1 year ago
View more

What are some alternatives?

When comparing AI Weekly and Scikit-learn, you can also consider the following products

THE AI VC - The world’s first VC fund powered entirely by AI

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

Summit - Summit delivers news that matters to you, but with a twist. As a news aggregation software, breaking stories are collected, summarized and visually grafted into interesting infographics to keep you updated on current events while on-the-go.

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

Deep Learning Gallery - A curated list of awesome deep learning projects

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

Loading...