Linkedin Complete Guide to R Wrangling Visualizing and Modeling
Torrent Info
| Category | Other |
| Added | Tuesday 14th May 2024 06:31:53 PM (2 years ago) |
| Size | 1.3 GB |
| Peers | 1 Peers (0 Seeders and 1 leechers) update |
| Downloaded | 9 times |
| Uploader | xHOBBiTx Thank You (0) Report Torrent 00/0 |
| Comments | None |
| Uploader Comments | None |
| Tags | English |
| Seeders | 0 |
| Leechers | 1 |
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| Filename | Size |
|---|---|
| 1. Make your data make sense.mp4 | 4.3 MB |
| 2. Using the exercise files.mp4 | 1.7 MB |
| 1. Comparing proportions.mp4 | 24.3 MB |
| 2. Comparing one mean to a population- One-sample t-test.mp4 | 16.1 MB |
| 3. Comparing paired means- Paired samples t-test.mp4 | 23.2 MB |
| 4. Comparing two means- Independent samples t-test.mp4 | 21.0 MB |
| 5. Comparing multiple means- One-factor analysis of variance.mp4 | 29.9 MB |
| 6. Comparing means with multiple categorical predictors- Factorial analysis of variance.mp4 | 21.8 MB |
| 1. Predicting outcomes with linear regression.mp4 | 27.7 MB |
| 2. Predicting outcomes with lasso regression.mp4 | 24.7 MB |
| 3. Predicting outcomes with quantile regression.mp4 | 18.3 MB |
| 4. Predicting outcomes with logistic regression.mp4 | 31.3 MB |
| 5. Predicting outcomes with Poisson or log-linear regression.mp4 | 9.3 MB |
| 6. Assessing predictions with blocked-entry models.mp4 | 30.6 MB |
| 1. Grouping cases with hierarchical clustering.mp4 | 29.2 MB |
| 2. Grouping cases with k-means clustering.mp4 | 22.9 MB |
| 3. Classifying cases with k-nearest neighbors.mp4 | 30.6 MB |
| 4. Classifying cases with decision tree analysis.mp4 | 24.4 MB |
| 5. Creating ensemble models with random forest classification.mp4 | 24.0 MB |
| 1. Next steps.mp4 | 5.7 MB |
| 1. R in context.mp4 | 13.5 MB |
| 2. Data science with R- A case study.mp4 | 30.6 MB |
| 1. Installing R.mp4 | 5.1 MB |
| 10. Piping commands with %%.mp4 | 7.9 MB |
| 2. Environments for R.mp4 | 11.2 MB |
| 3. Installing RStudio.mp4 | 3.3 MB |
| 4. Navigating the RStudio environment.mp4 | 17.4 MB |
| 5. Entering data.mp4 | 17.0 MB |
| 6. Data types and structures.mp4 | 28.7 MB |
| 7. Comments and headers.mp4 | 13.1 MB |
| 8. Packages for R.mp4 | 17.0 MB |
| 9. The tidyverse.mp4 | 9.3 MB |
| 1. Rs built-in datasets.mp4 | 16.3 MB |
| 2. Exploring sample datasets with pacman.mp4 | 21.3 MB |
| 3. Importing data from a spreadsheet.mp4 | 18.0 MB |
| 4. Importing XML data.mp4 | 19.3 MB |
| 5. Importing JSON data.mp4 | 21.3 MB |
| 6. Saving data in native R formats.mp4 | 19.8 MB |
| 1. Introduction to ggplot2.mp4 | 14.8 MB |
| 2. Using colors in R.mp4 | 16.0 MB |
| 3. Using color palettes.mp4 | 26.5 MB |
| 4. Creating bar charts.mp4 | 24.2 MB |
| 5. Creating histograms.mp4 | 13.1 MB |
| 6. Creating box plots.mp4 | 12.4 MB |
| 7. Creating scatterplots.mp4 | 14.1 MB |
| 8. Creating multiple graphs.mp4 | 10.0 MB |
| 9. Creating cluster charts.mp4 | 25.2 MB |
| 1. Creating tidy data.mp4 | 34.3 MB |
| 10. Filtering cases and subgroups.mp4 | 22.0 MB |
| 2. Using tibbles.mp4 | 13.3 MB |
| 3. Using data.table.mp4 | 15.8 MB |
| 4. Converting data from wide to tall and from tall to wide.mp4 | 11.4 MB |
| 5. Converting data from tables to rows.mp4 | 14.9 MB |
| 6. Working with dates and times.mp4 | 18.8 MB |
| 7. Working with list data.mp4 | 14.9 MB |
| 8. Working with XML data.mp4 | 17.2 MB |
| 9. Working with categorical variables.mp4 | 15.5 MB |
| 1. Recoding categorical data.mp4 | 23.9 MB |
| 2. Recoding quantitative data.mp4 | 22.1 MB |
| 3. Transforming outliers.mp4 | 21.5 MB |
| 4. Creating scale scores by counting.mp4 | 14.4 MB |
| 5. Creating scale scores by averaging.mp4 | 8.5 MB |
| 1. Data science with R- A case study.mp4 | 57.4 MB |
| 1. Computing frequencies.mp4 | 14.4 MB |
| 2. Computing descriptive statistics.mp4 | 25.3 MB |
| 3. Computing correlations.mp4 | 16.6 MB |
| 4. Creating contingency tables.mp4 | 16.8 MB |
| 5. Conducting a principal component analysis.mp4 | 37.8 MB |
| 6. Conducting an item analysis.mp4 | 52.1 MB |
| 7. Conducting a confirmatory factor analysis.mp4 | 18.1 MB |
| Ex_Files_Complete_Guide_to_R.zip | 6.2 MB |
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