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Results for "mixed+model"
- Status: Free
Coursera Project Network
Skills you'll gain: Data Analysis, Data Visualization, Machine Learning, Python Programming, R Programming
LearnKartS
Wesleyan University
Skills you'll gain: Regression
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning, Probability & Statistics, Human Learning, Algorithms
University at Buffalo
Skills you'll gain: Product Design, Product Development, Product Lifecycle, Systems Design, Technical Product Management, Business Process Management, Operations Management
Coursera Project Network
Skills you'll gain: Computer Vision, Deep Learning, Machine Learning, Tensorflow
University of Michigan
Skills you'll gain: General Statistics, Probability & Statistics, Regression, Statistical Analysis, Statistical Tests, Correlation And Dependence, Data Analysis, Plot (Graphics), Statistical Visualization, Estimation, Bayesian Statistics
Johns Hopkins University
Skills you'll gain: Algebra, Mathematics, Calculus, Linear Algebra, Mathematical Theory & Analysis
IE Business School
Skills you'll gain: Market Analysis, Marketing, Product Marketing, Strategy, Marketing Management, Product Strategy, Strategy and Operations, Customer Success, Market Research, Media Strategy & Planning, Communication
University of Colorado Boulder
Skills you'll gain: General Statistics, Statistical Analysis, Probability & Statistics, Regression, R Programming
Johns Hopkins University
In summary, here are 10 of our most popular mixed+model courses
- Build and deploy a stroke prediction model using R:Â Coursera Project Network
- Models, Methods, and Artifacts:Â LearnKartS
- Regression Modeling in Practice:Â Wesleyan University
- Probabilistic Graphical Models 3: Learning:Â Stanford University
- MBSE: Model-Based Systems Engineering :Â University at Buffalo
- Creating Multi Task Models With Keras:Â Coursera Project Network
- Fitting Statistical Models to Data with Python:Â University of Michigan
- Modelling, Analysis and Design of Steel Buildings:Â L&T EduTech
- Calculus through Data & Modeling: Precalculus Review:Â Johns Hopkins University
- Marketing Mix Fundamentals:Â IE Business School