Software Alternatives & Reviews
Register | Login

7EDGE VS Scikit-learn

Compare 7EDGE VS Scikit-learn and see what are their differences

Front
The platform for exceptional customer service at scale. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

7EDGE logo 7EDGE

Samsung Galaxy S7 edge Android smartphone. Announced Feb 2016. Features 5.5″ Super AMOLED display, Snapdragon 820 chipset, 12 MP primary camera, 5 MP front camera, 3600 mAh battery, 128 GB storage, 4 GB RAM, Corning Gorilla Glass 4.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • 7EDGE Landing page
    Landing page //
    2023-10-06
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

7EDGE videos

No 7EDGE videos yet. You could help us improve this page by suggesting one.

+ Add video

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 7EDGE and Scikit-learn)

7EDGE

Scikit-learn

CRM
100 100%
CRM
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Marketing Platform
100 100%
Marketing Platform
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using 7EDGE 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 7EDGE and Scikit-learn

7EDGE Reviews

We have no reviews of 7EDGE 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 more popular. It has been mentiond 28 times since March 2021. 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.

7EDGE mentions (0)

We have not tracked any mentions of 7EDGE yet. Tracking of 7EDGE recommendations started around Mar 2021.

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: almost 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
View more

What are some alternatives?

When comparing 7EDGE and Scikit-learn, you can also consider the following products

Sirius - An open-source clone of Siri from UMICH

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

Oxagile IoT Services - Leverage our IT consulting services to foster enterprise-grade optimization, accelerate digital transformation, and drive exceptional customer value.

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

Bosch.IO - We bring the IoT to life. Bosch.IO GmbH has 71 repositories available. Follow their code on GitHub.

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

Loading...