Search result for Regression techniques Online Courses & Certifications
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Market Analytics: Become a Data-Driven Marketing Expert
by Scandinavian Institute of Business Analytics- 3.9
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2 hours on-demand video
Descriptive and predictive market segmentation techniques 11 pricing techniques 3 major sales forecasting methods including moving average, exponential smoothing, and regression...
$19.99
Foundations of strategic business analytics
by Nicolas Glady- 4.4
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Approx. 8 hours to complete
This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. Beyond the regression estimates: reporting effects in a visual way Using classification and regression techniques to forecast...
Predictive Analytics using Machine Learning
by Dr Johannes De Smedt , Sofia Varypati , Obinna Unigwe- 0.0
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6 Weeks
Sampling techniques such as bagging and boosting, which improve robustness and overall predictive power, as well as random forests Support vector machines by introducing you to the concept of optimising the separation between classes, before diving into support vector regression Neural networks; their topology, the concepts of weights, biases, and kernels, and optimisation techniques...
$300
Complete Python Machine Learning & Data Science for Dummies
by Abhilash Nelson- 4.1
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10.5 hours on-demand video
The life of a machine learning engineer and a data-scientist is dedicated to make this accuracy as good as possible through different techniques and evaluation measures. Feature selection – Automatic selection techniques Regression Metrics - Mean Absolute Error, Mean Squared Error, R 2. steps For Finalizing regression models - boston housing dataset...
$11.99
Comprehensive Linear Modeling with R
by Geoffrey Hubona, Ph.D.- 3.9
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14.5 hours on-demand video
R Commander is an 'SPSS-like' GUI that enables the implementation of a large variety of statistical and graphical techniques using both menus and scripts. The course then progresses through linear regression and a section on validating linear models. The course concludes with a section on the special considerations and techniques for establishing simultaneous inference in the linear modeling domain....
$12.99
Data Science for Marketing Analytics
by Packt Publishing- 4.3
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4.5 hours on-demand video
Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation. In the concluding chapters, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms....
$11.99
Machine learning with Scikit-learn
by Francisco Juretig- 3.6
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6.5 hours on-demand video
Learn the most important machine learning techniques using the best machine learning library available Scikit-learn will provide estimators for both classification and regression problems. We will then see some powerful regression techniques that via a special trick called regularization, will help get much better linear estimators. We will then use classification and regression trees to estimate very complex models....
$11.99
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Data Science 2021: Data Science & Machine Learning in Python
by Ankit Mistry- 4.4
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18.5 hours on-demand video
5) Regression Analysis: Simple Linear Regression, Multiple Linear Regression, Support Vector Regression, Decision Tree, Random Forest Regression Calculate Grades using Simple Linear Regression Predict Restaurant Profit with Multiple Linear Regression...
$11.99
Big Data & Business Intelligence
by Michael McDonald- 3.3
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4 hours on-demand video
The focus in this course will be on financial data though the techniques are also applicable to more general forms of data like that used in marketing or management analyses. Both univariate and multivariate analysis will be covered with a particular focus on regression analysis. The course will cover reading and interpreting regression analysis....
$12.99
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 and Regression Linear Regression: Ridge, Lasso, and Polynomial Regression Logistic Regression Regression Evaluation...
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