Search result for Linear models Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 326 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Machine Learning with Java and Weka
by SVBook Pte. Ltd.- 3.4
-
![]()
![]()
![]()
![]()
![]()
2.5 hours on-demand video
You will learn Java Programming for machine learning and you will be able to train your own prediction models with naive bayes, decision tree, knn, neural network, linear regression, and evaluate your models very soon after learning the course. Simple Linear Regression LInear Regression using Weka and Java LInear Regression using Weka and Java 2...
$12.99
Forecasting Models with Excel
by Diego Fernandez- 2.6
-
![]()
![]()
![]()
![]()
![]()
8 hours on-demand video
Learn main forecasting models and methods from basic to expert level through a practical course with Excel. Estimate non-seasonal autoregressive integrated moving average models such as random walk with drift, differentiated first order autoregressive, Brown simple exponential smoothing, simple exponential smoothing with growth, Holt linear trend and Gardner additive damped trend models....
$14.99
Modeling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 21 hours to complete
Building effective models requires understanding the different types of questions you can ask and how to map those questions to your data. Topics covered include hypothesis testing, linear regression, nonlinear modeling, and machine learning. Linear Modeling Linear Regression Linear Regression Quiz Multiple Linear Regression Apply linear modeling techniques to answer multivariable questions...
Practical Machine Learning on H2O
by Darren Cook- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 24 hours to complete
Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. Types Of Models LINEAR MODELS AND MORE Load & Save Models...
Statistical Learning
by Trevor Hastie , Robert Tibshirani- 0.0
-
![]()
![]()
![]()
![]()
![]()
9 Weeks
The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Linear regression Linear model selection and regularization...
$149
Linear Regression using Stata
by Najib Mozahem- 4.4
-
![]()
![]()
![]()
![]()
![]()
3.5 hours on-demand video
In the first part, students are introduced to the theory behind linear regression. Students will learn the differences between simple linear regression and multiple linear regression. Understand what is linear regression Identify when linear regression is used Understand the difference between simple linear regression and multiple linear regression Understand the output produced by linear regression Apply linear regression using Stata...
$11.99
Applied Statistics with Python
by Ben Tasker , David Sze- 0.0
-
![]()
![]()
![]()
![]()
![]()
16 Weeks
Construct hypothesis test and confidence interval models to solve problems Analyze real-world problems using linear regression analysis techniques Construct linear regression models to solve problems Calculate linear regression results using technology Interpret the results of linear regression calculations Quantify answers to questions about correlation between variables using linear regression techniques...
$498
Related searches
Forecasting Models with Python
by Diego Fernandez- 3.5
-
![]()
![]()
![]()
![]()
![]()
5.5 hours on-demand video
Estimate non-seasonal autoregressive integrated moving average models such as random walk with drift, differentiated first order autoregressive, Brown simple exponential smoothing, Holt linear trend and Gardner additive damped trend models. Estimate non-seasonal autoregressive integrated moving average models such as random walk with drift, differentiated first order autoregressive, Brown simple exponential smoothing, Holt linear trend and Gardner additive damped trend models....
$12.99
Linear Regression for Business Statistics
by Sharad Borle- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 28 hours to complete
The course introduces you to the very important tool known as Linear Regression. In this module you will get introduced to the Linear Regression Model. • Introducing the Linear Regression • Hypothesis testing in a Linear Regression • Multicollinearity in Regression Models • The log-log and semi-log regression models The Log-Log and the Semi-Log Regression Models...
Regression Modeling in Practice
by Jen Rose , Lisa Dierker- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. Basics of Linear Regression SAS Lesson 2: Testing a Basic Linear Regression Mode Python Lesson 2: Testing a Basic Linear Regression Model Lesson 4: Linear Regression Assumptions...
Previous
