Visual ML with Yellowbrick
This course instructs students on the Rhyme platform of Coursera, where they will evaluate random forest classifiers using Yellowbrick, address class imbalance, and conduct feature analysis with regression, cross-validation, and hyperparameter optimization.
Description for Visual ML with Yellowbrick
Features of Course
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Coursera Project Network
Duration: 44 hours (approximately)
Schedule: Flexible
Pricing for Visual ML with Yellowbrick
Use Cases for Visual ML with Yellowbrick
FAQs for Visual ML with Yellowbrick
Reviews for Visual ML with Yellowbrick
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Visual ML with Yellowbrick
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.
NovaceneAI streamlines the organization of unstructured text data with AI algorithms, offering dedicated cloud hosting, adaptability across sectors, and robust data privacy measures.
Posit offers a comprehensive platform with enterprise solutions, cloud applications, community resources, and deployment solutions to enhance productivity in data science teams.
AI-Signals, driven by AI algorithms, offers precise trading insights including institutional concepts, automated analysis, and access to a VIP Discord community, while potential intermittent errors and subscription requirements may be considerations.
Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Learn to use generative AI tools to improve data science workflows, enhance datasets, and refine machine learning models through practical projects.
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world
Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.
Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.
Featured Tools
Become proficient in the programming and analysis of data using Python. Create software that collects, cleans, analyzes, and presents data.
Explore the use of generative AI for creating and optimizing code, employing tools like IBM Watsonx Code Assistant and GitHub CoPilot, while addressing associated ethical considerations and challenges.
Law's Generative AI Advantage. Utilize Generative AI to revolutionize legal research and practice.
Gain hands-on experience and comprehensive knowledge of GenAI, emphasizing critical thinking and leveraging AI to enhance idea development and prepare for the future of work.
Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.