Search result for Regression Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 713 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Machine Learning With TensorFlow: The Practical Guide
by Eduonix Learning Solutions- 3.9
-
![]()
![]()
![]()
![]()
![]()
6.5 hours on-demand video
A comprehensive source to help you learn Machine learning with TensorFlow Machine learning has become one of the most common practices used by many organizations, groups and individuals. It helps various software to predict the outcome more precisely without any programming. Machine learning finds the pattern in the input data and uses statistical analysis to foretell the result....
$9.99
Applied Statistics with Python
by Ben Tasker , David Sze- 0.0
-
![]()
![]()
![]()
![]()
![]()
16 Weeks
The content covers three components – descriptive statistics and probability, hypothesis tests and confidence intervals and linear regression analysis. 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
Statistics
by Sean Laraway , Ronald Rogers , Katie Kormanik- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 4 months
We live in a time of unprecedented access to information. You'll learn how to use statistics to interpret that information and make decisions. Instructor videosLearn by doing exercisesTaught by industry professionals...
Free
Statistics with R - Intermediate Level
by Bogdan Anastasiei- 4.2
-
![]()
![]()
![]()
![]()
![]()
2.5 hours on-demand video
Next you will learn how to perform a multiple linear regression analysis. We have assign several big lectures to this topic, because we will also learn how to check the regression assumptions and how to run a sequential (or hierarchical) regression in R. execute the multiple linear regression...
$12.99
24h Pro data science in R
by Francisco Juretig- 3.6
-
![]()
![]()
![]()
![]()
![]()
18.5 hours on-demand video
Practice data science with 24hs of material using real examples This course explores several modern machine learning and data science techniques in R. As you probably know, R is one of the most used tools among data scientists. We showcase a wide array of statistical and machine learning techniques. In particular: ...
$12.99
Machine Learning
by Qiang Liu- 0.0
-
![]()
![]()
![]()
![]()
![]()
12 Weeks
This course focuses on core algorithmic and statistical concepts in machine learning. Topics include pattern recognition, PAC learning, overfitting, decision trees, classification, linear regression, logistic regression, gradient descent, feature projection, dimensionality reduction, maximum likelihood, Bayesian methods, and neural networks. Tools from machine learning are now ubiquitous in the sciences with applications in engineering, computer vision, and biology, among others....
$1000
Deep Learning Regression with Python
by Diego Fernandez- 3.4
-
![]()
![]()
![]()
![]()
![]()
4 hours on-demand video
Learn deep learning regression from basic to expert level through a practical course with Python programming language. Learn deep learning regression through a practical course with Python programming language using S&P 500® Index ETF prices historical data for algorithm learning. Become a Deep Learning Regression Expert and Put Your Knowledge in Practice...
$9.99
Related searches
Statistical Learning
by Trevor Hastie , Robert Tibshirani- 0.0
-
![]()
![]()
![]()
![]()
![]()
9 Weeks
This is an introductory-level course in supervised learning, with a focus on regression and classification methods. 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...
$149
Introduction to TensorFlow
by Google Cloud Training- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 19 hours to complete
Our Jupyter Notebooks hands-on labs offer you the opportunity to build basic linear regression, basic logistic regression, and advanced logistic regression machine learning models....
Population Health: Responsible Data Analysis
by Mar Rodriguez Girondo , Jelle Goeman , Saskia le Cessie- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 21 hours to complete
You will discover how statistical inference, hypothesis testing and regression techniques will help you to make the connection between samples and populations. From data to information II: regression techniques Simple linear regression Multiple linear regression Logistic regression Cox proportional hazards regression Case study: Simple linear regression in practice Case study: Multiple linear regression in practice...
Previous
