Software Alternatives, Accelerators & Startups
Register | Login

Scikit-learn VS Campaign Monitor

Compare Scikit-learn VS Campaign Monitor and see what are their differences

MailReach.co
The #1 email warming service to improve your deliverability by generating realistic and meaningful engagement to your emails. Easy-to-use solution to help you land in the main inbox instead of the spam folder. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Scikit-learn logo Scikit-learn

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

Campaign Monitor logo Campaign Monitor

Email marketing software built for designers and their clients to run successful email campaigns.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Campaign Monitor Landing page
    Landing page //
    2023-10-07

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

Campaign Monitor videos

+ Add

How to Use a Custom Campaign Monitor Template

More videos:

  • Demo - Campaign Monitor Demo
  • Review - Mastering email marketing with Campaign Monitor

Category Popularity

0-100% (relative to Scikit-learn and Campaign Monitor)

Scikit-learn

Campaign Monitor

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Email Marketing
0 0%
Email Marketing
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Email Marketing Platforms
0 0%
Email Marketing Platforms
100% 100

User comments

Share your experience with using Scikit-learn and Campaign Monitor. 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 Scikit-learn and Campaign Monitor

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

Campaign Monitor Reviews

12 Top Campaign Monitor Alternatives & Competitors
So has Campaign Monitor been able to keep up? In some ways yes. They’ve introduced automations and updated the user-interface, but more as a REACTION to other pioneering (and distrupting) platforms. I’ll be 100% honest that I left Campaign Monitor years ago, but still followed along at a distance.
Source: thedigitalmerchant.com
The 24 Best Email Marketing Tools
Owned by Campaign Monitor, Delivra is an email service provider designed for sophisticated, high-volume email marketing. Features include list segmentation, auto-responders, a drag-and-drop editor, multi-channel drip campaigns, pre-built and custom templates, and engagement scoring.
Source: webbiquity.com
9 Best Campaign Monitor Alternatives To Power Up Your Personalization Efforts [2023]
This popular Campaign Monitor competitor carries advanced personalization features, like merging tags that can help your content change according to the recipient of your email campaign. This goes for the name or even the language you will use in your email. Mailchimp can also pinpoint the best time to send an email with its platform to detect patterns in your open rates,...
Source: moosend.com
7 Best Campaign Monitor Alternatives for 2023
Mind that you can’t create landing pages with Campaign Monitor. If you need a solution for lead generation, you’ll also need to invest in a landing page builder and integrate it with Campaign Monitor… or use Sendinblue.
Source: www.sendinblue.com
7 Cheaper Mailchimp Alternatives to Consider in 2019
Campaign Monitor makes it very easy to personalize your emails. And you also get a great-looking automation flow builder that rivals ConvertKit. That, along with a well-designed interface, is why you might want to pay a little more for Campaign Monitor.
Source: www.codeinwp.com

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than Campaign Monitor. While we know about 28 links to Scikit-learn, we've tracked only 1 mention of Campaign Monitor. 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 (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

Campaign Monitor mentions (1)

  • Why Email Marketing Is a necessity.
    According to campaignmonitor, the Return on investment in email marketing is 4400%. This implies a $44 return on every $1 spent. Also according to Direct Marketing Association, 66% of consumers have made a purchase online due to an email marketing message they have received in the past. Source: about 2 years ago

What are some alternatives?

When comparing Scikit-learn and Campaign Monitor, 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.

MailChimp - MailChimp is the best way to design, send, and share email newsletters.

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

Brevo - Innovative online Email Marketing solution to manage your contacts, create & send your newsletters and track your results. More than 80 000 clients. Best prices and attractive features.

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

Klaviyo - Klaviyo helps brands own the customer experience, grow higher-value relationships, and deliver more personalized marketing experiences across email, mobile, and web.

Loading...