Predictive Modelling with Azure Machine Learning Studio
Effectively employ Azure ML Studio for predictive model development, experiment establishment, and operationalizing machine learning workflows through drag-and-drop modules.
Description for Predictive Modelling with Azure Machine Learning Studio
Features of Course
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Coursera Project Network
Duration: 2 hours
Schedule: Flexible
Pricing for Predictive Modelling with Azure Machine Learning Studio
Use Cases for Predictive Modelling with Azure Machine Learning Studio
FAQs for Predictive Modelling with Azure Machine Learning Studio
Reviews for Predictive Modelling with Azure Machine Learning Studio
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Predictive Modelling with Azure Machine Learning Studio
The AI tool specializes in sentiment analysis, competitive analysis, custom analytics, Amazon marketplace analysis, review export, comprehensive help resources, and social media presence to meet diverse user needs effectively.
The AI tool enables organizations to create personalized multi-channel experiences for their clientele, featuring audience segmentation and a user-friendly platform with a complimentary 14-day trial and enterprise pricing options.
The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.
Utilizing AI technology, this tool streamlines statistical analysis tasks, automates calculations, supports various data formats, and provides visualization tools for efficient and precise scientific research.
The AI generator, drawing from various sources, facilitates user interaction to produce content, making it beneficial for startups and individuals seeking to explore and enhance their knowledge across different subjects.
The tool employs AI to assist users in understanding intricate documents, offering features such as content analysis, summarization, and language analysis, with plans for further enhancements.
The AI tool utilizes advanced technology to streamline product research and feedback analysis, offering quick insights, collaborative opportunities, integration options, a user-friendly interface, a free tier option, and team collaboration features.
CensusGPT is an AI tool that simplifies access to census data, offering tabular data and visual representations in response to user queries. It targets economists, researchers, and individuals interested in demographic analysis, leveraging the TextSQL framework for seamless interaction with datasets.
NovaceneAI streamlines the organization of unstructured text data with AI algorithms, offering dedicated cloud hosting, adaptability across sectors, and robust data privacy measures.
The AI Task Manager simplifies project management through features like project cost calculation, automated scheduling, data analysis, and user-friendly interface, enabling efficient planning and timely project completion.
Featured Tools
Learn regression analysis, build prediction functions, and develop public data products.
In order to handle AI security issues and defend AI systems against possible threats, this course gives participants the fundamental information and useful skills they need.
In addition to addressing parameter estimation and structure learning, this course covers learning probabilistic graphical models from data and contains practical programming tasks for practical use.
In brief, this course uses scikit-learn and actual athletic data to investigate classification and regression techniques in sports analytics.
Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.