Search result for Regression and classification Online Courses & Certifications
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Build Decision Trees, SVMs, and Artificial Neural Networks
by Stacey McBrine- 0.0
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Approx. 22 hours to complete
Decision trees and support-vector machines (SVMs) are two examples of algorithms that can both solve regression and classification problems, but which have different applications. Classification and Regression Tree (CART) Hard-Margin and Soft-Margin Classification Train and evaluate decision trees and random forests for regression and classification. Train and evaluate support-vector machines (SVM) for regression and classification....
Linear Regression and Logistic Regression using R Studio
by Start-Tech Academy- 4
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6.5 hours on-demand video
Linear Regression and Logistic Regression for beginners. Understand the difference between Regression & Classification Identify the business problem which can be solved using linear and logistic regression technique of Machine Learning. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture where we actually run each query with you....
$11.99
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
-Differentiate uses and applications of classification and classification ensembles -Describe and use logistic regression models -Describe and use other ensemble methods for classification -Use a variety of error metrics to compare and select the classification model that best suits your data Classification with Logistic Regression Classification Error Metrics: ROC and Precision-Recall Curves...
Supervised Machine Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
-Differentiate uses and applications of classification and classification ensembles -Describe and use logistic regression models -Describe and use other ensemble methods for classification -Use a variety of error metrics to compare and select the classification model that best suits your data Classification with Logistic Regression Classification Error Metrics: ROC and Precision-Recall Curves...
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 11 hours to complete
You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. Differentiate uses and applications of classification and regression in the context of supervised machine learning Describe and use linear regression models Introduction to Supervised Machine Learning and Linear Regression Regression and Classification Examples...
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 11 hours to complete
You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. Differentiate uses and applications of classification and regression in the context of supervised machine learning Describe and use linear regression models Introduction to Supervised Machine Learning and Linear Regression Regression and Classification Examples...
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
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Approx. 34 hours to complete
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. K-Nearest Neighbors Classification Overfitting and Underfitting K-Nearest Neighbors: Classification and Regression Linear Regression: Ridge, Lasso, and Polynomial Regression Logistic Regression Multi-Class Classification Precision-recall and ROC curves Regression Evaluation...
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Machine Learning From Basic to Advanced
by Code Warriors- 0.0
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3 hours on-demand video
With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification And as a bonus, this course includes Python code templates which you can download and use on your own projects....
$12.99
Classification Models
by Ben Burkholder- 0.0
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Approx. 2 weeks
Predictive analytics has proved to be a powerful tool to help businesses analyze data and predict future outcomes and trends. Use logistic regression and decision tree models. lesson 3 Non-Binary Classification Models Learn how to use models to predict categorical data with three or more possible outcomes. Learn how to use decision tree forest and boosted models....
Free
Predictive Modeling, Model Fitting, and Regression Analysis
by Dursun Delen , Julie Pai- 4.4
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Approx. 4 hours to complete
Welcome to Predictive Modeling, Model Fitting, and Regression Analysis. In this course, we will explore different approaches in predictive modeling, and discuss how a model can be either supervised or unsupervised. Data Dimensionality and Classification Analysis Data Dimensionality and Classification Analysis Modules 1 and 2 Applications of regression analysis (linear and logistic)...
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