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MAChineLearning VS Exploratory

Compare MAChineLearning VS Exploratory and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

MAChineLearning logo MAChineLearning

MAChineLearning is a framework that provides a quick and easy way to experiment with machine learning with native code on the Mac.

Exploratory logo Exploratory

Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.
  • MAChineLearning Landing page
    Landing page //
    2023-08-02
  • Exploratory Landing page
    Landing page //
    2023-09-12

MAChineLearning videos

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

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Exploratory videos

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1.3 Exploratory, Descriptive and Explanatory Nature Of Research

More videos:

  • Review - Exploratory Process Content Review
  • Review - Reviewing Your Data Science Projects - Episode 1 (Exploratory Analysis)

Category Popularity

0-100% (relative to MAChineLearning and Exploratory)

MAChineLearning

Exploratory

Data Science And Machine Learning
10 10%
Data Science And Machine Learning
90% 90
AI
100 100%
AI
0% 0
Data Science Tools
7 7%
Data Science Tools
93% 93
Python Tools
8 8%
Python Tools
92% 92

User comments

Share your experience with using MAChineLearning and Exploratory. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Exploratory seems to be more popular. It has been mentiond 6 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.

MAChineLearning mentions (0)

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

Exploratory mentions (6)

  • Excel Never Dies
    I'm a happy customer of https://exploratory.io/ - it's a very user-friendly interface on top of R and I think you might find it helpful. - Source: Hacker News / almost 2 years ago
  • Fast Lane to Learning R
    If the goal here is becoming productive quickly, try https://exploratory.io/ which is a sort of WYSIWYG environment for R that will still let you code by hand if needed. No affiliation, just a happy customer for 2 years. - Source: Hacker News / about 2 years ago
  • Excel 2.0 – Is there a better visual data model than a grid of cells?
    Give https://exploratory.io/ a look. It's free/cheap. It's a nice easy GUI wrapper for R and just works. I stumbled across it a year ago and now use it daily. - Source: Hacker News / about 2 years ago
  • Why no love for Exploratory Desktop?
    I'm not associated with the company, but I have used their product extensively and recommended it before. Is there a reason people do not recommend Exploratory Desktop compared to something like Tableau? It is free for public use, and can do almost anything Tableau does but faster: https://exploratory.io/. Source: about 2 years ago
  • A Quick Introduction to R
    I've been using https://exploratory.io/ a lot, which is r in a really nice wrapper where you can do everything point and click, by writing code by hand or a mix. - Source: Hacker News / over 2 years ago
View more

What are some alternatives?

When comparing MAChineLearning and Exploratory, you can also consider the following products

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

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

Amazon Machine Learning - Machine learning made easy for developers of any skill level

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

Lobe - Visual tool for building custom deep learning models

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

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