Search result for Multiple regression Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 176 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Regression Modeling Fundamentals
by Jordan Bakerman- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
Demo: Fitting a Multiple Logistic Regression Model with Categorical Predictors Using PROC LOGISTIC Demo: Fitting a Multiple Logistic Regression Model with Interactions Using PROC LOGISTIC Demo: Fitting a Multiple Logistic Regression Model with All Odds Ratios Using PROC LOGISTIC Practice: Using PROC LOGISTIC to Perform a Multiple Logistic Regression Analysis with Categorical Variables...
Machine Learning
by Andrew NgTop Instructor- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 61 hours to complete
Linear Regression with One Variable Gradient Descent For Linear Regression Gradient Descent For Linear Regression Linear Regression with One Variable Linear Regression with Multiple Variables Multiple Features Gradient Descent for Multiple Variables Linear Regression with Multiple Variables Logistic Regression Regularized Linear Regression Regularized Logistic Regression Regularized Linear Regression Regularized Logistic Regression...
Statistical Thinking for Industrial Problem Solving, presented by JMP
by Mia Stephens , Ledi Trutna- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 44 hours to complete
Fitting the Multiple Linear Regression Model Demo: Fitting Multiple Linear Regression Models Multiple Linear Regression with Categorical Predictors Multiple Linear Regression with Interactions Closing Thoughts on Multiple Linear Regression Multiple Logistic Regression Demo: Fitting a Multiple Logistic Regression Model Practice: Comparing Simple Linear and Multiple Linear Regression Models Practice: Fitting a Multiple Logistic Regression Model...
Artificial Intelligence #4:SVM & Logistic Classifier methods
by Sobhan N.- 3.1
-
![]()
![]()
![]()
![]()
![]()
2 hours on-demand video
Cases where the dependent variable has more than two outcome categories may be analysed in multinomial logistic regression, or, if the multiple categories are ordered, in ordinal logistic regression. In the terminology of economics, logistic regression is an example of a qualitative response/discrete choice model. Next you go further You will learn how to classify output of model by using Logistic Regression...
$12.99
Cluster Analysis, Association Mining, and Model Evaluation
by Dursun Delen , Julie Pai- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 4 hours to complete
Welcome to Cluster Analysis, Association Mining, and Model Evaluation. In this course we will begin with an exploration of cluster analysis and segmentation, and discuss how techniques such as collaborative filtering and association rules mining can be applied. Cluster Analysis and Segmentation Cluster Analysis and Segmentation Supplemental Resources Collaborative Filtering, Association Rules Mining (Market Basked Analysis)...
Fundamentals of Quantitative Modeling
by Richard Waterman- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
3 Regression Models Module 4: Regression Models 1 Introduction to Regression Model 2 Use of Regression Models 3 Interpretation of Regression Coefficients 6 Multiple Regression 7 Logistic Regression 8 Summary of Regression Models Module 4: Regression Models Quiz...
Data Science 2021: Data Science & Machine Learning in Python
by Ankit Mistry- 4.4
-
![]()
![]()
![]()
![]()
![]()
18.5 hours on-demand video
5) Regression Analysis: Simple Linear Regression, Multiple Linear Regression, Support Vector Regression, Decision Tree, Random Forest Regression Calculate Grades using Simple Linear Regression Predict Restaurant Profit with Multiple Linear Regression...
$11.99
Related searches
Introduction to Accounting Data Analytics and Visualization
by Ronald Guymon- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 19 hours to complete
2 Simple Regression 3 Regression Diagnostics 1: Regression Summary, ANOVA, and Coefficient Estimates 1 Multiple Regression 2 Regression Diagnostics 2: Predicted Values, Residuals, and Standardized Residuals 3 Regression Diagnostics 3: Line Fit Plots, Adjusted R Square, and Heat Maps for P-Values 1 Polynomial Regression Models 3 Multiple Indicator Variables 5 Regression Summary...
Deep Learning Prerequisites: Linear Regression in Python
by Lazy Programmer Inc.- 4.6
-
![]()
![]()
![]()
![]()
![]()
6.5 hours on-demand video
In the first section, I will show you how to use 1-D linear regression to prove that Moore's Law is true. In the next section, we will extend 1-D linear regression to any-dimensional linear regression - in other words, how to create a machine learning model that can learn from multiple inputs....
$17.99
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
Linear Regression Linear Regression Quiz Multiple Linear Regression Multiple Linear Regression Multiple Linear Regression Quiz Beyond Linear Regression Beyond Linear Regression Regression vs....
Previous
