Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Teradata VantageCloud Reviews & Ratings
    975 Ratings
    Company Website
  • Vertex AI Reviews & Ratings
    743 Ratings
    Company Website
  • RunPod Reviews & Ratings
    180 Ratings
    Company Website
  • Fraud.net Reviews & Ratings
    56 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    9 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    1,867 Ratings
    Company Website
  • Qloo Reviews & Ratings
    23 Ratings
    Company Website
  • Google Cloud Speech-to-Text Reviews & Ratings
    373 Ratings
    Company Website
  • SMS Storetraffic Reviews & Ratings
    108 Ratings
    Company Website
  • Datasite Diligence Virtual Data Room Reviews & Ratings
    541 Ratings
    Company Website

What is scikit-learn?

Scikit-learn provides a highly accessible and efficient collection of tools for predictive data analysis, making it an essential asset for professionals in the domain. This robust, open-source machine learning library, designed for the Python programming environment, seeks to ease the data analysis and modeling journey. By leveraging well-established scientific libraries such as NumPy, SciPy, and Matplotlib, Scikit-learn offers a wide range of both supervised and unsupervised learning algorithms, establishing itself as a vital resource for data scientists, machine learning practitioners, and academic researchers. Its framework is constructed to be both consistent and flexible, enabling users to combine different elements to suit their specific needs. This adaptability allows users to build complex workflows, optimize repetitive tasks, and seamlessly integrate Scikit-learn into larger machine learning initiatives. Additionally, the library emphasizes interoperability, guaranteeing smooth collaboration with other Python libraries, which significantly boosts data processing efficiency and overall productivity. Consequently, Scikit-learn emerges as a preferred toolkit for anyone eager to explore the intricacies of machine learning, facilitating not only learning but also practical application in real-world scenarios. As the field of data science continues to evolve, the value of such a resource cannot be overstated.

What is Lucidworks Fusion?

Fusion converts isolated data into distinctive insights tailored for individual users. Lucidworks Fusion empowers clients to effortlessly implement AI-driven search and data discovery solutions within a contemporary, containerized cloud-native framework. Data scientists have the capability to engage with these applications by leveraging their existing machine learning models. Additionally, they can swiftly develop and implement new models using widely-used tools such as Python ML and TensorFlow. Managing Fusion cloud deployments is not only simpler but also carries reduced risks. Lucidworks has revamped Fusion by employing a cloud-native microservices architecture that is orchestrated and overseen by Kubernetes, enhancing its overall functionality. This allows clients to dynamically adjust their application resources in accordance with usage fluctuations, thereby minimizing the complexities associated with deploying and upgrading Fusion. Furthermore, Fusion plays a crucial role in preventing unexpected downtime and maintaining optimal performance levels. It natively supports Python machine learning models and facilitates the integration of custom ML models, ensuring versatility in data processing. This comprehensive approach ultimately enhances the user experience and maximizes the utility of the data at hand.

Media

Media

Integrations Supported

Canopy
DagsHub
Databricks Data Intelligence Platform
FindTuner
Flower
Google Cloud Discovery AI
Guild AI
Intel Tiber AI Studio
Keepsake
MLJAR Studio
Matplotlib
ModelOp
NumPy
Python
Train in Data

Integrations Supported

Canopy
DagsHub
Databricks Data Intelligence Platform
FindTuner
Flower
Google Cloud Discovery AI
Guild AI
Intel Tiber AI Studio
Keepsake
MLJAR Studio
Matplotlib
ModelOp
NumPy
Python
Train in Data

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

scikit-learn

Company Location

United States

Company Website

scikit-learn.org/stable/

Company Facts

Organization Name

Lucidworks

Date Founded

2007

Company Location

United States

Company Website

lucidworks.com

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

eCommerce Personalization

A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

Insight Engines

AI / Machine Learning
Augmented Analytics
Data Aggregation
Data Classification
Data Extraction
Data Source Connectors
Full Text Search
Intent Recognition
Multiple Data Sources
Search / Filter
Sentiment Analysis

Popular Alternatives

Gensim Reviews & Ratings

Gensim

Radim Řehůřek

Popular Alternatives

ML.NET Reviews & Ratings

ML.NET

Microsoft
Theum Reviews & Ratings

Theum

Theum AG
MLlib Reviews & Ratings

MLlib

Apache Software Foundation
Apache Solr Reviews & Ratings

Apache Solr

Apache Software Foundation
Keepsake Reviews & Ratings

Keepsake

Replicate