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
High Performance Computing
by Rich Vuduc , Catherine Gamboa- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 4 months
This course will give you solid foundations for developing, analyzing, and implementing parallel and locality-efficient algorithms. Offered at Georgia Tech as CS6220 lesson 1 Work-Span or Dynamic Multithreading Model Intro to the basic algorithmic model Intro to OpenMP a practical programming model Comparison-based sorting algorithms Scans and linked list algorithms Tree algorithms Graph algorithms e....
Free
Big Data Applications: Machine Learning at Scale
by Alexey A. Dral , Vladimir Lesnichenko , Evgeny Frolov , Ilya Trofimov , Pavel Mezentsev , Emeli Dral- 3.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 28 hours to complete
- Build, tune and apply linear models with Spark MLLib - build and apply linear models for classification and regression tasks; Spark MLLib and Linear Models Linear regression Spark MLLib and Linear Models...
Marketing Analytics: Forecasting Models with Excel
by Start-Tech Academy- 4.5
-
![]()
![]()
![]()
![]()
![]()
7 hours on-demand video
Master Marketing Analytics| Forecasting and Time Series analysis | Sales Forecasting| Build Forecasting models in Excel You're looking for a complete course on understanding Forecasting models and forecasting analytics to drive business decisions involving production schedules, inventory management, manpower planning, demand forecasting, and many other parts of the business. Make forecasts based on models...
$16.99
Machine Learning
by Qiang Liu- 0.0
-
![]()
![]()
![]()
![]()
![]()
12 Weeks
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. 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....
$1000
Fundamentals of Statistics
by Philippe Rigollet , Jan-Christian Hütter , Karene Chu- 0.0
-
![]()
![]()
![]()
![]()
![]()
18 Weeks
How to select variables in linear regression? Choose between different models using goodness of fit test Make prediction using linear, nonlinear and generalized linear models...
$300
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
You will learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Supervised Machine Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
You will learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Related searches
Excel Analytics: Linear Regression Analysis in MS Excel
by Start-Tech Academy- 4.2
-
![]()
![]()
![]()
![]()
![]()
2.5 hours on-demand video
Linear Regression analysis in Excel. If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular technique of machine learning, which is Linear Regression...
$9.99
Regression, Data Mining, Text Mining, Forecasting using R
by ExcelR Solutions- 3.8
-
![]()
![]()
![]()
![]()
![]()
33 hours on-demand video
Learn about scatter diagram, correlation coefficient, confidence interval, Z distribution & t distribution, which are all required for Linear Regression understandingLearn about the usage of R for building Regression models...
$15.99
Bayesian Statistics
by Mine Çetinkaya-Rundel , David Banks , Colin Rundel , Merlise A Clyde- 3.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 35 hours to complete
The course will apply Bayesian methods to several practical problems, to show end-to-end Bayesian analyses that move from framing the question to building models to eliciting prior probabilities to implementing in R (free statistical software) the final posterior distribution. Bayesian simple linear regression...
Previous
