Software Alternatives, Accelerators & Startups

Scikit-learn VS AdThrive

Compare Scikit-learn VS AdThrive 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.

AdThrive logo AdThrive

AdThrive is an ad optimization solution just for bloggers.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • AdThrive Landing page
    Landing page //
    2023-07-25

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

AdThrive videos

How To Get Aproved by ADTHRIVE (Do This Before You Apply)

Category Popularity

0-100% (relative to Scikit-learn and AdThrive)
Data Science And Machine Learning
Ad Networks
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Advertising
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 AdThrive

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...

AdThrive Reviews

The Top 5 Display Advertising Networks: Monetize Your Blog The RIGHT Way
Adthrive is overseen by Google. As they are a certified partner publisher, you’ll get access to premium technologies and campaigns unavailable anywhere else. You’ll also get access to Google’s resources, training and expertise. They also make sure your ads are up to date on Google’s policies.
Source: www.rankxl.com
Mediavine Review: How I Switched From Google Adsense and Increased Earnings by 80%
Finally, I wanted to briefly mention AdThrive network. AdThrive works very similar to Mediavine. However, you need to have at least 100,000 pageviews as a minimum traffic requirement in order to qualify for AdThrive.

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than AdThrive. While we know about 29 links to Scikit-learn, we've tracked only 1 mention of AdThrive. 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 / 7 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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AdThrive mentions (1)

  • "Like all blowups on Reddit, this one will pass as well." -Spez
    Here's an example. The site is called "ReptileJam" and it contains a disorganized assortment of information about reptiles, probably either AI generated or written by some underpaid workers in India or something just copying and pasting info from other sites. The "About" page at the bottom is completely generic and doesn't provide any actual info about who runs the site. The bottom of the page says they are a... Source: about 1 year ago

What are some alternatives?

When comparing Scikit-learn and AdThrive, 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.

Ezoic - Improve & test ads, layouts, & content using artificial intelligence to increase website ad revenue & UX metrics. Google Adsense & Google Publishing Partner

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

Mediavine - Mediavine offers full service ad management including display ad optimization, video monetization and sponsored influencer marketing. We're here to help content creators build sustainable businesses.

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

AdSense - Earn money with website monetization from Google AdSense. We'll optimize your ad sizes to give them more chance to be seen and clicked.