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Planview IdeaPlace VS Scikit-learn

Compare Planview IdeaPlace VS Scikit-learn and see what are their differences

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

Planview IdeaPlace logo Planview IdeaPlace

Spigit is a software program designed to help CEOs and industry leaders to tap into the creativeness of their employees. It brands itself as an idea management tool. Read more about Spigit.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Planview IdeaPlace Landing page
    Landing page //
    2023-06-15
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Planview IdeaPlace videos

+ Add

Spigit Innovation Management Software Overview

More videos:

  • Review - Spigit Employee Engagement Software
  • Review - Spigit Webinar with Johnson & Johnson: Bringing Innovative Ideas to Life

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 Planview IdeaPlace and Scikit-learn)

Planview IdeaPlace

Scikit-learn

Idea Management
100 100%
Idea Management
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Brainstorming And Ideation
100 100%
Brainstorming And Ideation
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Planview IdeaPlace and Scikit-learn. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Planview IdeaPlace and Scikit-learn

Planview IdeaPlace Reviews

18 Best Idea Management Software to Facilitate Innovation 2023
Planview Spigit is an innovation management tool that automates crowdsourcing so you can spend more time prioritizing and developing the most promising ideas. Once your new initiatives are implemented, Spigit also offers reporting and analytics tools to determine their success.
Source: clickup.com

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 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.

Planview IdeaPlace mentions (0)

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

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 / 5 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 / 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 / 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
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What are some alternatives?

When comparing Planview IdeaPlace and Scikit-learn, you can also consider the following products

Xmind - Xmind is a brainstorming and mind mapping application.

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

MindMeister - Create, share and collaboratively work on mind maps with MindMeister, the leading online mind mapping software. Includes apps for iPhone, iPad and Android.

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

Brightidea - With over 2 million users worldwide and $15+ billion in recorded business impact, Brightidea is ranked as the #1 Idea Management Platform globally and is the market leader in innovation management.

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

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