Complete Guide to R Wrangling Visualizing and Modeling Data torrent, magnet, bt

Latest Search: 1.ssis481 2.ba117 3.Sheena Ryder 4.我自慰時間 5.post-op

Complete Guide to R Wrangling Visualizing and Modeling Data

magnet:?xt=urn:btih:0F83E8666CA3F7A58681BB5D331967F7D21B9014&dn=Complete%20Guide%20to%20R%20Wrangling%20Visualizing%20and%20Modeling%20Data

QR Code Copy to Clipboard Open with BT Client

Torrent Hash:

0F83E8666CA3F7A58681BB5D331967F7D21B9014

Number of Files:

Content Size:

1.35GB

Convert On:

2024-04-23

Keywords:

Complete Guide to Wrangling Visualizing and Modeling Data

Magnet Link:

magnet:?xt=urn:btih:0F83E8666CA3F7A58681BB5D331967F7D21B9014&dn=Complete%20Guide%20to%20R%20Wrangling%20Visualizing%20and%20Modeling%20Data

Link:

//btsow.motorcycles/magnet/detail/hash/0F83E8666CA3F7A58681BB5D331967F7D21B9014

Download

Play Now

File Name

Size

1. Introduction/1. Make your data make sense.mp4

4.3MB

1. Introduction/2. Using the exercise files.mp4

1.7MB

10. Analyzing Data/1. Comparing proportions.mp4

24.27MB

10. Analyzing Data/2. Comparing one mean to a population- One-sample t-test.mp4

16.13MB

10. Analyzing Data/3. Comparing paired means- Paired samples t-test.mp4

23.23MB

10. Analyzing Data/4. Comparing two means- Independent samples t-test.mp4

21.01MB

10. Analyzing Data/5. Comparing multiple means- One-factor analysis of variance.mp4

29.94MB

10. Analyzing Data/6. Comparing means with multiple categorical predictors- Factorial analysis of variance.mp4

21.8MB

11. Predicting Outcomes/1. Predicting outcomes with linear regression.mp4

27.66MB

11. Predicting Outcomes/2. Predicting outcomes with lasso regression.mp4

24.7MB

11. Predicting Outcomes/3. Predicting outcomes with quantile regression.mp4

18.27MB

11. Predicting Outcomes/4. Predicting outcomes with logistic regression.mp4

31.32MB

11. Predicting Outcomes/5. Predicting outcomes with Poisson or log-linear regression.mp4

9.3MB

11. Predicting Outcomes/6. Assessing predictions with blocked-entry models.mp4

30.65MB

12. Clustering and Classifying Cases/1. Grouping cases with hierarchical clustering.mp4

29.23MB

12. Clustering and Classifying Cases/2. Grouping cases with k-means clustering.mp4

22.85MB

12. Clustering and Classifying Cases/3. Classifying cases with k-nearest neighbors.mp4

30.62MB

12. Clustering and Classifying Cases/4. Classifying cases with decision tree analysis.mp4

24.44MB

12. Clustering and Classifying Cases/5. Creating ensemble models with random forest classification.mp4

24MB

13. Conclusion/1. Next steps.mp4

5.72MB

2. What Is R/1. R in context.mp4

13.48MB

2. What Is R/2. Data science with R- A case study.mp4

30.62MB

3. Getting Started/1. Installing R.mp4

5.14MB

3. Getting Started/10. Piping commands with %%.mp4

7.89MB

3. Getting Started/2. Environments for R.mp4

11.19MB

3. Getting Started/3. Installing RStudio.mp4

3.33MB

3. Getting Started/4. Navigating the RStudio environment.mp4

17.42MB

3. Getting Started/5. Entering data.mp4

16.95MB

3. Getting Started/6. Data types and structures.mp4

28.67MB

3. Getting Started/7. Comments and headers.mp4

13.09MB

3. Getting Started/8. Packages for R.mp4

16.97MB

3. Getting Started/9. The tidyverse.mp4

9.26MB

4. Importing Data/1. Rs built-in datasets.mp4

16.32MB

4. Importing Data/2. Exploring sample datasets with pacman.mp4

21.27MB

4. Importing Data/3. Importing data from a spreadsheet.mp4

17.97MB

4. Importing Data/4. Importing XML data.mp4

19.27MB

4. Importing Data/5. Importing JSON data.mp4

21.26MB

4. Importing Data/6. Saving data in native R formats.mp4

19.79MB

5. Visualizing Data with ggplot2/1. Introduction to ggplot2.mp4

14.82MB

5. Visualizing Data with ggplot2/2. Using colors in R.mp4

15.99MB

5. Visualizing Data with ggplot2/3. Using color palettes.mp4

26.5MB

5. Visualizing Data with ggplot2/4. Creating bar charts.mp4

24.17MB

5. Visualizing Data with ggplot2/5. Creating histograms.mp4

13.12MB

5. Visualizing Data with ggplot2/6. Creating box plots.mp4

12.4MB

5. Visualizing Data with ggplot2/7. Creating scatterplots.mp4

14.06MB

5. Visualizing Data with ggplot2/8. Creating multiple graphs.mp4

10MB

5. Visualizing Data with ggplot2/9. Creating cluster charts.mp4

25.24MB

6. Wrangling Data/1. Creating tidy data.mp4

34.3MB

6. Wrangling Data/10. Filtering cases and subgroups.mp4

22.04MB

6. Wrangling Data/2. Using tibbles.mp4

13.33MB

6. Wrangling Data/3. Using data.table.mp4

15.75MB

6. Wrangling Data/4. Converting data from wide to tall and from tall to wide.mp4

11.37MB

6. Wrangling Data/5. Converting data from tables to rows.mp4

14.9MB

6. Wrangling Data/6. Working with dates and times.mp4

18.8MB

6. Wrangling Data/7. Working with list data.mp4

14.89MB

6. Wrangling Data/8. Working with XML data.mp4

17.16MB

6. Wrangling Data/9. Working with categorical variables.mp4

15.48MB

7. Recoding Data/1. Recoding categorical data.mp4

23.95MB

7. Recoding Data/2. Recoding quantitative data.mp4

22.08MB

7. Recoding Data/3. Transforming outliers.mp4

21.46MB

7. Recoding Data/4. Creating scale scores by counting.mp4

14.42MB

7. Recoding Data/5. Creating scale scores by averaging.mp4

8.54MB

8. An R for Data Science Case Study/1. Data science with R- A case study.mp4

57.37MB

9. Exploring Data/1. Computing frequencies.mp4

14.4MB

9. Exploring Data/2. Computing descriptive statistics.mp4

25.3MB

9. Exploring Data/3. Computing correlations.mp4

16.61MB

9. Exploring Data/4. Creating contingency tables.mp4

16.83MB

9. Exploring Data/5. Conducting a principal component analysis.mp4

37.81MB

9. Exploring Data/6. Conducting an item analysis.mp4

52.09MB

9. Exploring Data/7. Conducting a confirmatory factor analysis.mp4

18.1MB

Ex_Files_Complete_Guide_to_R.zip

6.24MB

Latest Search:

1.ssis481 2.ba117 3.Sheena Ryder 4.我自慰時間 5.post-op 6.heyzo2671 7.célèbres 8.Lana Rhoades 9.温泉姉妹と野球部員～三日三晩の接待合宿～ 10.the L word S03 11.Secret.Level.S01.2024 12.Mom+my 13.Letinas 14.HDX264 15.破地獄 16.FemaleFakeTaxi lady gang 17.ARM-420 18.3805 19.cwp 02 20.つぼみ 21.RED101 22.Mom's Dirty Book 23.AUKG-330 24.ANYA OLSEN 25.4499166 26.star wars 27.arhipelage 28.abp695 29.opiumud 30.IPX-365