Software Alternatives & Reviews

SAP BusinessObjects Predictive Analytics VS Scikit-learn

Compare SAP BusinessObjects Predictive Analytics VS Scikit-learn and see what are their differences

SAP BusinessObjects Predictive Analytics logo SAP BusinessObjects Predictive Analytics

SAP Predictive Analytics software allows the user to create better and faster predictive results, deliver machine learning at scale using a factory approach and bring predictive insights where people interact _ in business processes and applications.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • SAP BusinessObjects Predictive Analytics Landing page
    Landing page //
    2023-07-12
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

SAP BusinessObjects Predictive Analytics videos

SAP BusinessObjects Predictive Analytics: Data for Your Predictive Models

Scikit-learn videos

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 SAP BusinessObjects Predictive Analytics and Scikit-learn)
Business & Commerce
100 100%
0% 0
Data Science And Machine Learning
Finance
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 SAP BusinessObjects Predictive Analytics and Scikit-learn

SAP BusinessObjects Predictive Analytics Reviews

Top 7 Predictive Analytics Tools
If a company will primarily be using their predictive analytics solution to analyze data that resides in SAP software or the SAP Analytics Cloud, such as their ERP data, SAP Predictive Analytics might be a good fit. The company has quite a few different options available when it comes to features. Whoever is using the system from business analysts to data scientists, the...

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...

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 28 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.

SAP BusinessObjects Predictive Analytics mentions (0)

We have not tracked any mentions of SAP BusinessObjects Predictive Analytics yet. Tracking of SAP BusinessObjects Predictive Analytics recommendations started around Mar 2021.

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 / 2 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 / 11 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: 12 months 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: about 1 year ago
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What are some alternatives?

When comparing SAP BusinessObjects Predictive Analytics and Scikit-learn, you can also consider the following products

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

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

SAS Advanced Analytics - SAS Advanced Analytics product suite covers data mining, statistical analysis, forecasting, text analytics, optimization and simulation.

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

BlackRock Aladdin - BlackRock Aladdin is an advanced-level portfolio management software that helps you to manage and view your daily investment under the guidance of highly trained investment professionals.

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