Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Easily access and download clean, ready-to-utilize web datasets tailored for analysis, insight generation, and training machine learning models. The complexity of teaching machines to handle intricate tasks necessitates vast amounts of data. DataStock provides the resources you need to fulfill your Machine Learning Project and Training needs efficiently. The datasets available at DataStock feature millions of records, including customer reviews, making them perfect for constructing a text corpus for Natural Language Processing applications. By implementing Sentiment Analysis, you can gain valuable insights into the feelings, attitudes, emotions, and opinions expressed in user-generated content. For those seeking data specifically for Sentiment Analyses, DataStock stands out as an excellent resource. With a wealth of data at your fingertips, conducting timeline analyses and identifying trends becomes straightforward, allowing for a glimpse into future outcomes. Furthermore, DataStock operates as an online marketplace where you can purchase structured datasets from a variety of domains, including Retail, Healthcare, and Recruitment, ensuring that you find the specific data you need. With its user-friendly platform, DataStock simplifies the process of acquiring essential datasets for various analytical projects.
Description
Utilize open-source machine learning tools and data visualization techniques to create dynamic data analysis workflows in a visual format, supported by a broad and varied collection of resources. Conduct straightforward data assessments accompanied by insightful visual representations, and investigate statistical distributions through box plots and scatter plots; for more complex inquiries, utilize decision trees, hierarchical clustering, heatmaps, multidimensional scaling, and linear projections. Even intricate multidimensional datasets can be effectively represented in 2D, particularly through smart attribute selection and ranking methods. Engage in interactive data exploration for swift qualitative analysis, enhanced by clear visual displays. The user-friendly graphic interface enables a focus on exploratory data analysis rather than programming, while intelligent defaults facilitate quick prototyping of data workflows. Simply position widgets on your canvas, link them together, import your datasets, and extract valuable insights! When it comes to teaching data mining concepts, we prefer to demonstrate rather than merely describe, and Orange excels in making this approach effective and engaging. The platform not only simplifies the process but also enriches the learning experience for users at all levels.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
$20
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
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
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
PromptCloud
Founded
2009
Country
United States
Website
datastock.shop/
Vendor Details
Company Name
University of Ljubljana
Country
Slovenia
Website
orange.biolab.si
Product Features
Data Extraction
Disparate Data Collection
No
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
No
Product Features
Data Mining
Data Extraction
No
Data Visualization
No
Fraud Detection
No
Linked Data Management
No
Machine Learning
No
Predictive Modeling
No
Semantic Search
No
Statistical Analysis
No
Text Mining
No
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
Yes
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
Yes
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