Software Alternatives, Accelerators & Startups

Scikit-learn VS MINDBODY

Compare Scikit-learn VS MINDBODY 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.

MINDBODY logo MINDBODY

Find and book fitness and beauty classes near you.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • MINDBODY Landing page
    Landing page //
    2023-05-12

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

MINDBODY videos

Mindbody CEO: Powering Fitness | Mad Money | CNBC

More videos:

  • Review - Why Use MINDBODY? Our customers talk about their favorite features of the MINDBODY software
  • Review - MINDBODY - 2019 Year in Review

Category Popularity

0-100% (relative to Scikit-learn and MINDBODY)
Data Science And Machine Learning
Appointments and Scheduling
Data Science Tools
100 100%
0% 0
Sport & Health
0 0%
100% 100

User comments

Share your experience with using Scikit-learn and MINDBODY. 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 MINDBODY

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...

MINDBODY Reviews

7 MindBody Alternatives & Competitors | 2024 Reviews & Pricing
The 7 best Mindbody software competitorsWhat makes the best software alternative to Mindbody?How we evaluate and test these software programsWhat makes a good Mindbody competitor?The best Mindbody competitor for rapid growthHapanaThe best Mindbody competitor for personal trainersGlofoxThe best Mindbody competitor for integrationsMarianaTekThe best Mindbody competitor for...
Source: www.hapana.com
10 Zenoti Alternatives 2020 | Salon & Spa Scheduling Software
Moreover, Mindbody has a notification system with automatic notifications, reminders, and the confirmations to reduce no-shows. The customers can easily schedule their appointments via the iOS/Android app or from the website. The insightful and comprehensive reporting permits different trends like sales, revenues, attendance, inventory, and retention levels, that offer...
2019 Top Salon Booking Apps
Mindbody is all about making connections with your current and potential clients and expanding your outreach. On top of offering booking options and POS, this app is loaded with marketing tools and features that give you the freedom to create customized campaigns and messages. Based on clients’ history and interaction, you have the ability to target specific segments within...
Fitness apps let users pick and choose workouts
MindBody is a company and technology platform that offers a searchable and sortable database of nearby gyms and available classes, but it does not sell a monthly package of credits.
Best Salon Software 2020: The Ultimate Guide
You may also be familiar with Salon Marketplaces. There are specific salon appointment tools that exists to support visibility on their client marketplaces. Often time pricing of the salon software part is lower on those as they earn income by charging the client when they book with you. Some examples of salon marketplaces are Styleseat, Vagaro, Booksy, Mindbody, and Fresha...

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 29 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.

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 / 13 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
View more

MINDBODY mentions (0)

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

What are some alternatives?

When comparing Scikit-learn and MINDBODY, 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.

Zen Planner - Zen Planner's fitness membership management software helps you grow your box, gym or studio with scheduling, automated billing & more. Try it now for free!

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

Glofox - Powerful Gym and Studio Management Software.

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

Pike13 - Pike13 provides a mobile-first solution for "on-the-go" owners of small service business who are trapped in a paper world trying to manage their clients.