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ease
features
design
support

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Description

We offer a mobile telematics service designed to enhance tracking capabilities within third-party mobile applications, enabling the collection, processing, and analysis of driving data. Our innovative solution transforms any smartphone into a robust tracking device. The Software Development Kit (SDK) for both native and cross-platform applications captures data from smartphone sensors, pre-proceses it, and interprets it into a precise dataset about driving behaviors. Additionally, our platform processes, enriches, and analyzes this telematics data for deeper insights. By integrating the Telematics SDK into your mobile application, you can leverage advanced analytics for your drivers. Our powerful scoring model delivers exceptional predictive accuracy, allowing you to identify the most responsible drivers who are less likely to be involved in accidents, as well as those with risky driving behaviors that heighten their accident risk. Furthermore, drivers who utilize telematics services tend to be 47% less prone to financial losses compared to their counterparts. This significant advantage underscores the importance of adopting telematics technology in enhancing road safety and performance.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

GitHub
Python
tigerlab

Integrations

GitHub
Python
tigerlab

Pricing Details

$250 per month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Damoov

Founded

2019

Country

United States

Website

www.damoov.com

Vendor Details

Company Name

Axel ARONIO DE ROMBLAY

Founded

2017

Website

mlbox.readthedocs.io/en/latest/

Product Features

Asset Tracking

Activity Tracking
Audit Trails
Barcoding / RFID
Checkout / Check-In
Depreciation Tracking
Disposal Tracking
Inventory Management
Location Tracking
QR Codes
Reservations
Service History

GPS Tracking

Alerts/Notifications
Asset Tracking
Driver Management
Historical Reporting
Mobile Tracking
People Tracking
Real Time Tracking
Routing
Status Tracking
Territory Management
Vehicle Tracking

Product Features

Machine Learning

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

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