Search result for Regression models Online Courses & Certifications
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Master Machine Learning with Scikit-Learn Library & Python
by Piyush Dave- 5
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10.5 hours on-demand video
Learn Machine Learning Algorithms like Linear & Logistic Regression, SVM, KNN, KMean, NB, Decision Tree & Random Forest This Course will design to understand Machine Learning Algorithms with case Studies using Scikit Learn Library. The course provides path to start career in Data Science , Artificial Intelligence, Machine Learning....
$9.99
Introduction to Statistical Analysis: Hypothesis Testing
by Jordan Bakerman- 4.8
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Approx. 10 hours to complete
Overview of Models ANOVA and Regression Identifying Associations in Linear Regression with Scatter Plots More Complex Linear Models The Multiple Linear Regression Model Hypothesis Testing for Multiple Regression Multiple Linear Regression versus Simple Linear Regression Demo: Fitting a Multiple Linear Regression Model Using PROC REG Practice - Performing Multiple Regression Using PROC REG More Complex Linear Models...
Applied Statistics with Python
by Ben Tasker , David Sze- 0.0
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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
Machine Learning with Python: A Practical Introduction
by Saeed Aghabozorgi- 0.0
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5 Weeks
We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such as Train/Test Split, Root Mean Squared Error (RMSE), and Random Forests. We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such asTrain/Test Split, Root Mean Squared Error and Random Forests. Supervised learning algorithms, including classification and regression...
$99
Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
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Approx. 26 hours to complete
This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. ) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. Interpretation of Logistic Regression...
Comprehensive Linear Modeling with R
by Geoffrey Hubona, Ph.D.- 3.9
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14.5 hours on-demand video
Also included are sections explaining and demonstrating linear and non-linear models for survival analysis, smoothers and generalized additive models (GAMs), longitudinal models with and without generalized estimating equations (GEE), mixed-effects, split-plot, and nested designs. Also included are detailed examples and explanations of validating linear models using various graphical displays, as well as comparing alternative models to choose the 'best' model....
$12.99
Machine Learning Algorithms: Supervised Learning Tip to Tail
by Anna Koop- 4.7
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Approx. 9 hours to complete
Scikitlearn documentation for linear regression (Optional) From Regression to Classification The Regression side of Supervised Learning Regression for Classification: Support Vector Machines Logistic Regression Contrasting Models Regression assessment Testing your models...
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Python for Machine Learning and Data Mining
by CARLOS QUIROS- 3.6
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12.5 hours on-demand video
- Linear and Multiple Regression- Regularization- Polynomial Regression- Logistic Regression- Cross Validation- Support Vector Machines for Regression and Classification- Decision Trees and Random Forest- KNN algorithm- GridSearchCV- Principal Component Analysis (PCA)- Linear Discriminant Analysis (LDA)- Kernel Principal Component Analysis (KPCA)- Ensemble methods- K means clustering analysis- Market Basquet Analysis- Time Series with ARIMA models- Gradient Descent- Multilayer Neural Networks...
$11.99
Predictive Modeling with Logistic Regression using SAS
by Michael J Patetta- 4.5
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Approx. 17 hours to complete
Understanding the Logistic Regression Model Using PROC LOGISTIC to Fit Logistic Regression Models Demo: Fitting a Basic Logistic Regression Model, Part 1 Demo: Fitting a Basic Logistic Regression Model, Part 2 Assessing Models when Target Event Data Is Rare Using Macros to Compare Many Models SAS Certification Practice Exam - Statistical Business Analysis Using SAS®9: Regression and Modeling...
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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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. -Describe and use logistic regression models Logistic Regression Introduction to Logistic Regression Classification with Logistic Regression Logistic Regression Lab - Part 1 Logistic Regression Lab - Part 2...
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