Software Alternatives & Reviews

Microsoft Office Excel VS WEKA

Compare Microsoft Office Excel VS WEKA and see what are their differences

Microsoft Office Excel logo Microsoft Office Excel

Microsoft Office Excel is a commercial spreadsheet application.

WEKA logo WEKA

WEKA is a set of powerful data mining tools that run on Java.
  • Microsoft Office Excel Landing page
    Landing page //
    2023-04-21
  • WEKA Landing page
    Landing page //
    2018-09-29

Microsoft Office Excel videos

How to use review tab(Microsoft Excel part-6)

More videos:

  • Tutorial - Michael Net Worth
  • Tutorial - How To Pass Microsoft Excel Test - Get ready for the Interview
  • Review - Microsoft Excel Review Tab All Option,Ms Excel के review Tab को जानिए हिंदी में,Ms excel Review Tab!

WEKA videos

Review of Feature Selection in Weka

More videos:

  • Review - Getting Started with Weka - Machine Learning Recipes #10
  • Tutorial - Data mining with Weka | Data mining Tutorial for Beginners

Category Popularity

0-100% (relative to Microsoft Office Excel and WEKA)
Project Management
100 100%
0% 0
Data Science And Machine Learning
Spreadsheets
100 100%
0% 0
Data Science Tools
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 Microsoft Office Excel and WEKA

Microsoft Office Excel Reviews

  1. Unleashing the Potential with Microsoft Office Excel

    A software program created by Microsoft that uses spreadsheets to organize numbers and data with formulas and functions. It is one of the best software for daily use Microsoft Office Excel has been an absolute game-changer for me in the realm of spreadsheet applications. Whether it's managing data, creating intricate formulas, or visualizing trends, Excel stands out as a powerhouse of functionality and efficiency.

    👍 Pros:    Database management
    👎 Cons:    Learning curve
  2. Everyone loves to hate it, but it's the best!

    What would we do without Excel!? Sure, the online version isn't as simple as Google Sheets, they could have chosen not to localise the function names, and it's always chaos trying to consolidate multiple budget or forecast files & templates, but aside from that it's everyone's favourite spreadsheet. What you can't do in Excel isn't worth doing. Even if there's often a better way...

  3. Reliable Software

    It is one of the best software for daily purpose.


Top 10 Data Analysis Tools in 2022
Microsoft Excel Microsoft Excel allows the direct addition of analog data from a picture to a fully editable format in Excel. Microsoft 365 Business Basic subscription costs $6/user/month. Microsoft Excel is a very efficient tool for small businesses in processing and conducting calculations on data. However, Excel is relatively old, which means limited features in terms of...

WEKA Reviews

15 data science tools to consider using in 2021
Weka is free software licensed under the GNU General Public License. It was developed at the University of Waikato in New Zealand starting in 1992; an initial version was rewritten in Java to create the current workbench, which was first released in 1999. Weka stands for the Waikato Environment for Knowledge Analysis and is also the name of a flightless bird native to New...

What are some alternatives?

When comparing Microsoft Office Excel and WEKA, you can also consider the following products

Google Sheets - Synchronizing, online-based word processor, part of Google Drive.

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

LibreOffice - Calc - LibreOffice Calc is the spreadsheet program you've always needed. A fork of OpenOffice.

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

Apple Numbers - Numbers lets you build beautiful spreadsheets on a Mac, iPad, or iPhone — or on a PC using iWork for iCloud. And it’s compatible with Apple Pencil.

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