Linkedin - Complete Guide to R Wrangling Visualizing and Modeling Data

磁力链接/BT种子名称

Linkedin - Complete Guide to R Wrangling Visualizing and Modeling Data

磁力链接/BT种子简介

种子哈希：13d6bf3975f892c53bbba1758804c60f95a89f19
文件大小： 1.35G
已经下载：2116次
下载速度：极快
收录时间：2024-05-16
最近下载：2025-07-27

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文件列表

  • 8. An R for Data Science Case Study/1. Data science with R- A case study.mp4 60.2 MB
  • 9. Exploring Data/6. Conducting an item analysis.mp4 54.6 MB
  • 9. Exploring Data/5. Conducting a principal component analysis.mp4 39.6 MB
  • 6. Wrangling Data/1. Creating tidy data.mp4 36.0 MB
  • 11. Predicting Outcomes/4. Predicting outcomes with logistic regression.mp4 32.8 MB
  • 11. Predicting Outcomes/6. Assessing predictions with blocked-entry models.mp4 32.1 MB
  • 12. Clustering and Classifying Cases/3. Classifying cases with k-nearest neighbors.mp4 32.1 MB
  • 2. What Is R/2. Data science with R- A case study.mp4 32.1 MB
  • 10. Analyzing Data/5. Comparing multiple means- One-factor analysis of variance.mp4 31.4 MB
  • 12. Clustering and Classifying Cases/1. Grouping cases with hierarchical clustering.mp4 30.6 MB
  • 3. Getting Started/6. Data types and structures.mp4 30.1 MB
  • 11. Predicting Outcomes/1. Predicting outcomes with linear regression.mp4 29.0 MB
  • 5. Visualizing Data with ggplot2/3. Using color palettes.mp4 27.8 MB
  • 9. Exploring Data/2. Computing descriptive statistics.mp4 26.5 MB
  • 5. Visualizing Data with ggplot2/9. Creating cluster charts.mp4 26.5 MB
  • 11. Predicting Outcomes/2. Predicting outcomes with lasso regression.mp4 25.9 MB
  • 12. Clustering and Classifying Cases/4. Classifying cases with decision tree analysis.mp4 25.6 MB
  • 10. Analyzing Data/1. Comparing proportions.mp4 25.5 MB
  • 5. Visualizing Data with ggplot2/4. Creating bar charts.mp4 25.3 MB
  • 12. Clustering and Classifying Cases/5. Creating ensemble models with random forest classification.mp4 25.2 MB
  • 7. Recoding Data/1. Recoding categorical data.mp4 25.1 MB
  • 10. Analyzing Data/3. Comparing paired means- Paired samples t-test.mp4 24.4 MB
  • 12. Clustering and Classifying Cases/2. Grouping cases with k-means clustering.mp4 24.0 MB
  • 7. Recoding Data/2. Recoding quantitative data.mp4 23.2 MB
  • 6. Wrangling Data/10. Filtering cases and subgroups.mp4 23.1 MB
  • 10. Analyzing Data/6. Comparing means with multiple categorical predictors- Factorial analysis of variance.mp4 22.9 MB
  • 7. Recoding Data/3. Transforming outliers.mp4 22.5 MB
  • 4. Importing Data/2. Exploring sample datasets with pacman.mp4 22.3 MB
  • 4. Importing Data/5. Importing JSON data.mp4 22.3 MB
  • 10. Analyzing Data/4. Comparing two means- Independent samples t-test.mp4 22.0 MB
  • 4. Importing Data/6. Saving data in native R formats.mp4 20.8 MB
  • 4. Importing Data/4. Importing XML data.mp4 20.2 MB
  • 6. Wrangling Data/6. Working with dates and times.mp4 19.7 MB
  • 11. Predicting Outcomes/3. Predicting outcomes with quantile regression.mp4 19.2 MB
  • 9. Exploring Data/7. Conducting a confirmatory factor analysis.mp4 19.0 MB
  • 4. Importing Data/3. Importing data from a spreadsheet.mp4 18.8 MB
  • 3. Getting Started/4. Navigating the RStudio environment.mp4 18.3 MB
  • 6. Wrangling Data/8. Working with XML data.mp4 18.0 MB
  • 3. Getting Started/8. Packages for R.mp4 17.8 MB
  • 3. Getting Started/5. Entering data.mp4 17.8 MB
  • 9. Exploring Data/4. Creating contingency tables.mp4 17.7 MB
  • 9. Exploring Data/3. Computing correlations.mp4 17.4 MB
  • 4. Importing Data/1. Rs built-in datasets.mp4 17.1 MB
  • 10. Analyzing Data/2. Comparing one mean to a population- One-sample t-test.mp4 16.9 MB
  • 5. Visualizing Data with ggplot2/2. Using colors in R.mp4 16.8 MB
  • 6. Wrangling Data/3. Using data.table.mp4 16.5 MB
  • 6. Wrangling Data/9. Working with categorical variables.mp4 16.2 MB
  • 6. Wrangling Data/5. Converting data from tables to rows.mp4 15.6 MB
  • 6. Wrangling Data/7. Working with list data.mp4 15.6 MB
  • 5. Visualizing Data with ggplot2/1. Introduction to ggplot2.mp4 15.5 MB
  • 7. Recoding Data/4. Creating scale scores by counting.mp4 15.1 MB
  • 9. Exploring Data/1. Computing frequencies.mp4 15.1 MB
  • 5. Visualizing Data with ggplot2/7. Creating scatterplots.mp4 14.7 MB
  • 2. What Is R/1. R in context.mp4 14.1 MB
  • 6. Wrangling Data/2. Using tibbles.mp4 14.0 MB
  • 5. Visualizing Data with ggplot2/5. Creating histograms.mp4 13.8 MB
  • 3. Getting Started/7. Comments and headers.mp4 13.7 MB
  • 5. Visualizing Data with ggplot2/6. Creating box plots.mp4 13.0 MB
  • 6. Wrangling Data/4. Converting data from wide to tall and from tall to wide.mp4 11.9 MB
  • 3. Getting Started/2. Environments for R.mp4 11.7 MB
  • 5. Visualizing Data with ggplot2/8. Creating multiple graphs.mp4 10.5 MB
  • 11. Predicting Outcomes/5. Predicting outcomes with Poisson or log-linear regression.mp4 9.8 MB
  • 3. Getting Started/9. The tidyverse.mp4 9.7 MB
  • 7. Recoding Data/5. Creating scale scores by averaging.mp4 9.0 MB
  • 3. Getting Started/10. Piping commands with %%.mp4 8.3 MB
  • Ex_Files_Complete_Guide_to_R.zip 6.5 MB
  • 13. Conclusion/1. Next steps.mp4 6.0 MB
  • 3. Getting Started/1. Installing R.mp4 5.4 MB
  • 1. Introduction/1. Make your data make sense.mp4 4.5 MB
  • 3. Getting Started/3. Installing RStudio.mp4 3.5 MB
  • 1. Introduction/2. Using the exercise files.mp4 1.8 MB

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