Search result for Regression techniques Online Courses & Certifications
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Psychic Mediumship: Spiritual Past Life Regression
by Julian Jenkins- 4.9
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1.5 hours on-demand video
Certified: Past Life Psychic Mediumship Regression understand & heal the past so we can have clarity & happiness today x If you want to find out more about Past Life Regression and how you can use these techniques to help others then my new online course is for you! Body Therapy and Current Life Regression...
$16.99
Introduction to Predictive Modeling
by De Liu- 5
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Approx. 12 hours to complete
This course will introduce to you the concepts, processes, and applications of predictive modeling, with a focus on linear regression and time series forecasting models and their practical use in Microsoft Excel. During the course, we will provide you opportunities to practice predictive modeling techniques on real-world datasets using Excel. Week/Module 1: Simple Linear Regression...
Data Science: Machine Learning and Predictions
by Ani Adhikari , John DeNero , David Wagner- 0.0
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6 Weeks
Learn how to use machine learning, with a focus on regression and classification, to automatically identify patterns in your data and make better predictions. Regression is used when you seek to predict a numerical quantity. These techniques will be motivated by a wide range of examples. Linear regression, correlation, and the phenomenon of regression to the mean...
$199
Complete Linear Regression Analysis in Python
by Start-Tech Academy- 4.1
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7.5 hours on-demand video
Linear Regression in Python| Simple Regression, Multiple Regression, Ridge Regression, Lasso and subset selection also You're looking for a complete Linear Regression course that teaches you everything you need to create a Linear Regression model in Python, right? Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary....
$12.99
All-in-One:Machine Learning,DL,NLP,AWS Deply [Hindi][Python]
by Rishi Bansal- 0.0
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17.5 hours on-demand video
Chapter - Supervised Learning: Regression - Simple Linear Regression - Multiple Linear Regression - Regression Model Performance - R-Square - Polynomial Linear Regression - Logistic Regression - Decision Tree Regression Below Text Preprocessing Techniques with python Code Chapter: Regularization, Lasso Regression, Ridge Regression - Lasso and Ridge Regression...
$12.99
Machine Learning: Regression
by Emily Fox , Carlos Guestrin- 4.8
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Approx. 22 hours to complete
-Describe the input and output of a regression model. Polynomial Regression Ridge Regression Symptoms of overfitting in polynomial regression Overfitting for more general multiple regression models How ridge regression balances bias and variance Ridge regression demo Observing effects of L2 penalty in polynomial regression Implementing ridge regression via gradient descent Ridge Regression...
Machine Learning
by John W. Paisley- 0.0
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12 Weeks
In the first half of the course we will cover supervised learning techniques for regression and classification. Supervised learning techniques for regression and classification Unsupervised learning techniques for data modeling and analysis...
$249
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Applied Statistics with Python
by Ben Tasker , David Sze- 0.0
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16 Weeks
Analyze real-world problems using hypothesis tests and confidence interval techniques 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 Summarize data using visual and numeric techniques Quantify answers to questions about correlation between variables using linear regression techniques...
$498
Statistical Learning
by Trevor Hastie , Robert Tibshirani- 0.0
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9 Weeks
This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Linear regression...
$149
Introduction to Automated Analysis
by Mike , Kevin Wendt- 4.1
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Approx. 19 hours to complete
This course introduces state-of-the-art techniques for automated analysis. The learner will become familiar with the fundamental theory and applications of such approaches, and apply a variety of automated analysis techniques on example programs. Automated Analysis Techniques Automated Analysis Techniques Automating Regression Testing Automating Regression Testing...
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