Search result for Linear models Online Courses & Certifications
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Machine Learning: Classification
by Emily Fox , Carlos Guestrin- 4.7
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Approx. 21 hours to complete
In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,. -Evaluate your models using precision-recall metrics. Linear Classifiers & Logistic Regression Linear classifiers: A motivating example Intuition behind linear classifiers Predicting class probabilities with (generalized) linear models...
HR Analytics using MS Excel for Human Resource Management
by Start-Tech Academy- 4.1
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10 hours on-demand video
Use Excel for HR Analytics, calculate HR metrics, build HR dashboards & ML models for Human Resource & People Analytics Implement predictive ML models such as simple and multiple linear regression to predict outcomes to real-world HR problems A Verifiable Certificate of Completion is presented to all students who undertake this HR Analytics: Strategies & Models in Excel course....
$9.99
Logistic Regression in Python
by Start-Tech Academy- 4.1
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7.5 hours on-demand video
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 Classification techniques of machine learning, such as Logistic Regression, Linear Discriminant Analysis and KNN...
$12.99
Supply Chain Dynamics
by Chris Caplice , Yossi Sheffi , Bruce Arntzen , Alexis Bateman- 0.0
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13 Weeks
This course builds on the fundamental models introduced in SC1x and the design trade-offs covered in SC2x. Developed at MIT, system dynamics is an approach that examines and models complex systems that feature interacting, non-linear, and dynamic elements....
$299
Population Health: Predictive Analytics
by Ewout W. Steyerberg , David van Klaveren- 5
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Approx. 18 hours to complete
Developing better prediction models is a critical step in the pursuit of improved health care: we need these tools to guide our decision-making on preventive measures, and individualized treatments....
Making Predictions with Data and Python
by Packt Publishing- 4
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4 hours on-demand video
Build Awesome Predictive Models with Python In this hands-on course, you will learn how to build predictive models with Python. All the topics are taught using practical examples and throughout the course, we build many models using real-world datasets. He worked in the Central Bank of Guatemala as an Economic Analyst, building models for economic and financial data....
$11.99
Distributed Machine Learning with Apache Spark
by Ameet Talwalkar , Jon Bates- 0.0
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4 Weeks
You will implement distributed algorithms for fundamental statistical models (linear regression, logistic regression, principal component analysis) while tackling key problems from domains such as online advertising and cognitive neuroscience. How to implement distributed algorithms for fundamental statistical models...
$99
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Differential Equations: 2x2 Systems
by David Jerison , Jennifer French , Duncan Levear- 0.0
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8 Weeks
Differential equations are the language of the models we use to describe the world around us. How to use matrix methods to solve homogeneous systems of 2 first order linear differential equations How to use graphical methods to understand the qualitative behavior of linear and nonlinear systems, and how to apply linear approximation to nonlinear (autonomous) 2x2 systems...
$75
Обобщенные линейные модели
by Варфоломеева Марина Александровна , Хайтов Вадим Михайлович- 0.0
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Approx. 16 hours to complete
Обобщенные линейные модели (Generalized Linear Models, GLM) позволяют обойти это ограничение. All models are wrong...
Operations Research (1): Models and Applications
by 孔令傑 (Ling-Chieh Kung)- 4.8
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Approx. 11 hours to complete
In particular, we focus on how to formulate real business problems into mathematical models that can be solved by computers. Linear Programming 2-4: Linear programming. Formulate different types of mathematical models to tackle optimizationproblems with business applications. Technically, the concepts and applicationsof Linear Programming, Integer Programming, and Nonlinear Programming will be delivered....
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