Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Experience the elegance of Machine Learning, designed for everyone, and elevate your business through the top-tier Machine Learning platform available. Begin making insightful, data-driven choices today without the burden of costly or complex solutions. BigML offers Machine Learning that operates seamlessly and effectively. With a suite of well-designed algorithms tailored to tackle real-world challenges, BigML employs a unified framework that can be applied throughout your organization. By minimizing reliance on various disconnected libraries, you can significantly reduce complexity, maintenance expenses, and technical debt in your projects. BigML empowers countless predictive applications across diverse sectors such as aerospace, automotive, energy, entertainment, financial services, food, healthcare, IoT, pharmaceuticals, transportation, telecommunications, and many others. The platform excels in supervised learning techniques, including classification and regression (trees, ensembles, linear regressions, logistic regressions, and deep learning), as well as time series forecasting, making it a versatile tool for any business. Explore the future of decision-making with BigML's innovative solutions today!
Description
MLBox is an advanced Python library designed for Automated Machine Learning. This library offers a variety of features, including rapid data reading, efficient distributed preprocessing, comprehensive data cleaning, robust feature selection, and effective leak detection. It excels in hyper-parameter optimization within high-dimensional spaces and includes cutting-edge predictive models for both classification and regression tasks, such as Deep Learning, Stacking, and LightGBM, along with model interpretation for predictions. The core MLBox package is divided into three sub-packages: preprocessing, optimization, and prediction. Each sub-package serves a specific purpose: the preprocessing module focuses on data reading and preparation, the optimization module tests and fine-tunes various learners, and the prediction module handles target predictions on test datasets, ensuring a streamlined workflow for machine learning practitioners. Overall, MLBox simplifies the machine learning process, making it accessible and efficient for users.
API Access
Has API
Yes
API Access
Has API
No
Integrations
GitHub
No
Incredible
Yes
Python
No
Stackreaction
Yes
Unremot
Yes
Wufoo
Yes
Zapier
Yes
Integrations
GitHub
Yes
Incredible
No
Python
Yes
Stackreaction
No
Unremot
No
Wufoo
No
Zapier
No
Pricing Details
$30 per user per month
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
BigML
Founded
2011
Country
United States
Website
bigml.com
Vendor Details
Company Name
Axel ARONIO DE ROMBLAY
Founded
2017
Website
mlbox.readthedocs.io/en/latest/
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
Yes
Statistical / Mathematical Tools
No
Templates
Yes
Visualization
No
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No