Udemy- Machine Learning 2021: Practical Regression Analysis in R
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- 2021-02-20 13:24:45 GMT
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Description
Regression Analysis for Machine Learning & Data Science in R
My course will be your hands-on guide to the theory and applications of supervised machine learning with the focus on regression analysis using the R-programming language.
Unlike other courses, it offers NOT ONLY the guided demonstrations of the R-scripts but also covers theoretical background that will allow you to FULLY UNDERSTAND & APPLY REGRESSION ANALYSIS (Linear Regression, Random Forest, KNN, etc) in R (many R packages incl. caret package will be covered) for supervised machine learning and prediction tasks.
This course also covers all themain aspects of practical and highly applied data science related to Machine Learning (i.e. regression analysis). Thus, if you take this course, you will save lots of time & money on other expensive materials in the R based Data Science and Machine Learning domain.
THIS COURSE HAS 8 SECTIONS COVERING EVERY ASPECT OF MACHINE LEARNING: BOTH THEORY & PRACTISE
Fully understand the basics of Regression Analysis (parametric & non-parametric methods) & supervised Machine Learning from theory to practice
Harness applications of parametric and non-parametric regressions in R
Learn how to apply correctly regression models and test them in R
Learn how to select the best statistical & machine learning model for your task
Carry out coding exercises & your independent project assignment
Learn the basics of R-programming
Get a copy of all scripts used in the course
and MORE
NO PRIOR R OR STATISTICS/MACHINE LEARNING / R KNOWLEDGE REQUIRED:
You’ll start by absorbing the most valuable Regression Analysis & R-programming basics, and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R.
My course will help youimplement the methods using real dataobtained from different sources. Thus, after completing my Regression Analysis for Machine Learning in R course, you’ll easily use different data streams and data science packages to work with real data in R.
In case it is your first encounter with R, don’t worry, my course a full introduction to the R & R-programming in this course.
This course is different from other training resources. Each lecture seeks to enhance your Regression modeling and Machine Learning skills in a demonstrable and easy-to-follow manner and provide you with practically implementable solutions. You’ll be able to start analyzing different streams of data for your projects and gain appreciation from your future employers with your improved machine learning skills and knowledge of cutting edge data science methods.
The course is ideal for professionals who need to use cluster analysis, unsupervised machine learning, and R in their field.
One important part of the course is the practical exercises. You will be given some precise instructions and datasets to run Machine Learning algorithms using the R tools.
JOIN MY COURSE NOW!
Who this course is for:
The course is ideal for professionals who need to use regression analysis & supervised machine learning in their field
Everyone who would like to learn Data Science Applications In The R & R Studio Environment
Everyone who would like to learn theory and implementation of Regression Analysis & Machine Learning On Real-World Data
Requirements
Availabiliy computer and internet & strong interest in the topic
Last Updated 1/2021
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/6. Lab Machine Learning Models' Comparison & Best Model Selection.mp4 | 101.24 MiB |
| TutsNode.com.txt | 63 B |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/6. Lab Machine Learning Models' Comparison & Best Model Selection.srt | 14.19 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/1.1 R Crash Course I_udemy_script.R | 12.94 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/1. Introduction to the course, Machine Learning & Regression Analysis/2. Introduction to Regression Analysis.srt | 12.52 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/1. Overview of Regression Analysis.srt | 12.52 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/1. Introduction to the course, Machine Learning & Regression Analysis/3. Introduction to Regression Analysis.html | 166 B |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/4. Lab Random Forest in R.srt | 12.23 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/2. Lab Polynomial regression in R.srt | 10.73 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/1. Introduction to the course, Machine Learning & Regression Analysis/4. What is Machine Leraning and it's main types.srt | 9.88 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/1. Introduction to the course, Machine Learning & Regression Analysis/5. Overview of Machine Leraning in R.srt | 2.07 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/1. Introduction to the course, Machine Learning & Regression Analysis/6. Machine Learning Types.html | 166 B |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/5. ANOVA - Categorical variables with more than two levels in linear regressions.srt | 9.74 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/1. Introduction to Section 2.srt | 605 B |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/6. Lab Get started with R in RStudio.srt | 9.52 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/1. Lab Multiple linear regression - model estimation.srt | 9.2 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/6. Lab data types and data structures in R.srt | 8.82 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/3. Lab Multiple linear regression with interaction.srt | 8.73 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/4. Your first linear regression model in R.srt | 8.47 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/5. Introduction to RStudio Interface.srt | 8.27 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/5. Overview of data types and data structures in R.srt | 8.21 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/7. Lab Linear Regression Diagnostics.srt | 7.27 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/7. Vectors' operations in R.srt | 7.25 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/2. Lab Decision Trees in R.srt | 7.14 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/7. What is the latest version of RStudio and R.html | 166 B |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/4. Lab Spline regression in R.srt | 6.92 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/1. Introduction to Section 3.srt | 1.16 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/5. Lab Generalized additive models in R.srt | 6.78 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/3. Graphical Analysis of Regression Models.srt | 6.47 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/4. Lab Install R and RStudio in 2020.srt | 6.17 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/1. Nonlinear Regression Essentials in R Polynomial and Spline Regression Models.srt | 5.83 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/3. Variables in R and assigning Variables in R.srt | 2.51 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/4. Regression with Categorical Variables Dummy Coding Essentials in R.srt | 5.72 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/4. Lab Variables in R and assigning Variables in R.srt | 1.71 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/11. Prediction model evaluation with data split out-of-sample RMSE.srt | 5.06 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/12. Read Data into R.srt | 4.82 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/1. Classification and Decision Trees (CART) Theory.srt | 4.55 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/10. Predict with linear regression model & RMSE as in-sample error.srt | 4.54 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/2. Lab Installing Packages and Package Management in R.srt | 4.48 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/3. Random Forest Theory.srt | 4.35 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/3. How to install R and RStudio in 2020.srt | 4.12 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/8. Data types and data structures Factors.srt | 2.66 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/9. Evaluation of Prediction Model Performance in Supervised Learning Regression.srt | 2.84 KiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/4. Lab Random Forest in R.mp4 | 100.14 MiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/9. Dataframes overview.srt | 3.98 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/11. Lab For Loops in R.srt | 3.97 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/10. Functions in R - overview.srt | 3.97 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/1.1 029_MultipleLinearRegression.R | 3.82 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/2. Lab Multiple linear regression - prediction.srt | 3.78 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/3. Lab Log transformation in R.srt | 3.37 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/6.1 027_ModelCompare.R | 3.07 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/2. Overview of Regression Analysis.html | 166 B |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/2. What is R and RStudio.srt | 3.06 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/1. Introduction to the course, Machine Learning & Regression Analysis/1. Introduction.srt | 3.04 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/3.1 034_PolyRegression_LogTransform.R | 2.75 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/6. How to know if the model is best fit for your data - theory.srt | 2.73 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/4.1 018_LM_diamonds.R | 2.21 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/5. Lab Correlation & Linear Regression Analysis in R.srt | 2.49 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/7. Your Final Project.srt | 2.38 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/5.1 020_CorrelationLinear.R | 785 B |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/4.1 035_SplineRegression.R | 2.25 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/2.1 033_PolynomialRegression.R | 2.03 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/4.1 026_RandomForest.R | 1.79 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/8. Lab how to measure the linear model's fit AIC and BIC.srt | 1.72 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/7.1 020_LM_Diagnosis.R | 1.41 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/3.1 030_MultipleLinearRegression_interactions.R | 1.49 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/2.1 025_DecisionTress.R | 1.2 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/8.1 021_AIC.R | 543 B |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/5.1 032_ANOVA.R | 1.15 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/4.1 031_DummyVariables.R | 1.12 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/11.1 022_RegressionModelValidation.R | 875 B |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/10.1 019_RMSE_LM.R | 827 B |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/5.1 036_GAM.R | 441 B |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/5. Parametrise Random Forest model.html | 166 B |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/2. Lab Polynomial regression in R.mp4 | 64.95 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/1. Lab Multiple linear regression - model estimation.mp4 | 60.15 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/5. ANOVA - Categorical variables with more than two levels in linear regressions.mp4 | 54.55 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/4. Your first linear regression model in R.mp4 | 53.31 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/2. Lab Decision Trees in R.mp4 | 51.97 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/1. Overview of Regression Analysis.mp4 | 49.17 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/1. Introduction to the course, Machine Learning & Regression Analysis/2. Introduction to Regression Analysis.mp4 | 49.12 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/6. Lab data types and data structures in R.mp4 | 48.1 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/6. Lab Get started with R in RStudio.mp4 | 47.71 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/5. Lab Generalized additive models in R.mp4 | 47.5 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/4. Lab Spline regression in R.mp4 | 46.96 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/3. Lab Multiple linear regression with interaction.mp4 | 44.54 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/7. Lab Linear Regression Diagnostics.mp4 | 43.22 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/4. Lab Install R and RStudio in 2020.mp4 | 38.67 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/7. Vectors' operations in R.mp4 | 35.96 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/1. Introduction to the course, Machine Learning & Regression Analysis/4. What is Machine Leraning and it's main types.mp4 | 34.35 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/12. Read Data into R.mp4 | 31.91 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/11. Prediction model evaluation with data split out-of-sample RMSE.mp4 | 31.17 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/5. Introduction to RStudio Interface.mp4 | 30.69 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/4. Regression with Categorical Variables Dummy Coding Essentials in R.mp4 | 29.69 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/1. Nonlinear Regression Essentials in R Polynomial and Spline Regression Models.mp4 | 26.05 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/10. Functions in R - overview.mp4 | 24.81 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/10. Predict with linear regression model & RMSE as in-sample error.mp4 | 24.37 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/2. Lab Installing Packages and Package Management in R.mp4 | 24.16 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/1. Introduction to the course, Machine Learning & Regression Analysis/1. Introduction.mp4 | 21.43 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/3. Random Forest Theory.mp4 | 21.27 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/3. Lab Log transformation in R.mp4 | 19.01 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/2. Lab Multiple linear regression - prediction.mp4 | 18.83 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/9. Dataframes overview.mp4 | 16.68 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/3. How to install R and RStudio in 2020.mp4 | 16.67 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/3. Graphical Analysis of Regression Models.mp4 | 16.09 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/7. Your Final Project.mp4 | 15.05 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/1. Classification and Decision Trees (CART) Theory.mp4 | 13.35 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/5. Lab Correlation & Linear Regression Analysis in R.mp4 | 13.07 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/2. What is R and RStudio.mp4 | 12.24 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/8. Data types and data structures Factors.mp4 | 9.32 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/6. How to know if the model is best fit for your data - theory.mp4 | 9.14 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/3. Variables in R and assigning Variables in R.mp4 | 8.97 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/8. Lab how to measure the linear model's fit AIC and BIC.mp4 | 8.57 MiB |
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| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/4. Lab Variables in R and assigning Variables in R.mp4 | 7.66 MiB |
| .pad/43 | 349.55 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/9. Evaluation of Prediction Model Performance in Supervised Learning Regression.mp4 | 6.75 MiB |
| .pad/44 | 257.19 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/1. Introduction to the course, Machine Learning & Regression Analysis/5. Overview of Machine Leraning in R.mp4 | 5.67 MiB |
| .pad/45 | 334.94 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/1. Introduction to Section 3.mp4 | 3.96 MiB |
| .pad/46 | 38.69 KiB |
| [TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/1. Introduction to Section 2.mp4 | 3.75 MiB |
