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Results for "run+experiments+and+train+models"
University of Michigan
Skills you'll gain: Data Analysis, Statistical Analysis
Coursera Project Network
Skills you'll gain: Human Learning, Machine Learning, Python Programming, Regression
Howard University
Coursera Project Network
Skills you'll gain: Data Analysis, Process Analysis, R Programming
Johns Hopkins University
Skills you'll gain: Machine Learning, SAS (Software), Statistical Programming
Whizlabs
Skills you'll gain: Data Model, Machine Learning
Johns Hopkins University
Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Regression, Statistical Analysis, Statistical Tests
Status: FreeUniversity of Leeds
Skills you'll gain: Data Analysis, Data Visualization Software
University of California, Irvine
Skills you'll gain: Data Analysis, Data Model, General Statistics, Machine Learning, Probability & Statistics, Regression, Statistical Analysis
University of Minnesota
Skills you'll gain: Data Analysis, Forecasting, General Statistics, Regression, Spreadsheet Software, Statistical Analysis, Microsoft Excel, Probability & Statistics, Basic Descriptive Statistics, Plot (Graphics)
Macquarie University
Skills you'll gain: Business Analysis, Data Analysis, Forecasting, Microsoft Excel, Probability & Statistics, Regression, Spreadsheet Software, General Statistics, Statistical Analysis, Statistical Tests
In summary, here are 10 of our most popular run+experiments+and+train+models courses
- Linear Regression Modeling for Health Data:Â University of Michigan
- PyCaret: Anatomy of Regression:Â Coursera Project Network
- Building Regression Models with Linear Algebra:Â Howard University
- Simulation of Covid-19 Testing Process Using R Simmer:Â Coursera Project Network
- Measuring and Modeling Impact in Evaluations:Â Johns Hopkins University
- Machine Learning Using SAS Viya:Â SAS
- Modeling in AWS:Â Whizlabs
- Quantifying Relationships with Regression Models:Â Johns Hopkins University
- Statistical Methods:Â University of Leeds
- Predictive Modeling, Model Fitting, and Regression Analysis:Â University of California, Irvine
