Description for ML Algorithms with R in Business Analytics
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by Illinois
Duration: 14 hours (approximately)
Schedule: Flexible
Pricing for ML Algorithms with R in Business Analytics
Use Cases for ML Algorithms with R in Business Analytics
FAQs for ML Algorithms with R in Business Analytics
Reviews for ML Algorithms with R in Business Analytics
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for ML Algorithms with R in Business Analytics
Learn the ability to employ machine learning techniques to resolve classification, regression, forecasting, and clustering issues in business settings.
A brief overview of the material covered in this course is that it teaches students how to use logistic regression and the XG-Boost algorithm in machine learning to forecast employee turnover.
With an emphasis on time series prediction using RNNs and ConvNets, this course educates software developers on how to create scalable AI models using TensorFlow.
Become an expert in the field of artificial intelligence. Develop effective strategies for the application of Artificial Intelligence techniques to address business challenges.
Prepare for data analytics career. In less than three months, gain high-demand skills and experience. No prior experience required.
Mastering Advanced Statistics for Data Science. Acquire the necessary knowledge and abilities to effectively communicate the choices and interpretations of models.
Discover the process of identifying machine learning model types, training and deploying predictive models using Azure Machine Learning's automated capabilities, developing regression, classification, and clustering models with Azure Machine Learning Designer, and deploying models seamlessly without scripting.
Learn to import, manipulate, and format data in pandas, optimize parameters, and build, evaluate, and interpret support vector machines.
Commence Your Career in Data Science. A ten-course introduction to data science, devised and instructed by distinguished professors.
Featured Tools
Explore the topic of AI-powered personalization by acquiring the skills necessary to utilize LangChain and ChatGPT.
Discover AI terminology, ethical norms, and protocols for responsibly utilizing and citing Generative AI.
A structured guide to the study of business opportunities in the chatbot space, as well as the comprehension, design, and deployment of chatbots using Watson Assistant.
Learn the fundamental techniques of supervised and unsupervised learning and apply them to real-world problems to unlock the potential of machine learning.
A practical guide to the use of generative AI for the purpose of composing, refining, and planning, utilizing structured and context-driven inputs.
Compare & Review AI Tool Directory AI Course Marketplace
