Index of /Rprojekti/courses

[ICO]NameLast modifiedSizeDescription
[PARENTDIR]Parent Directory  -  
[DIR]join_tables_in_SQL/2022-06-24 10:48 -  
[DIR]probability_distributions/2022-06-24 10:48 -  
[DIR]relational_databases_SQL/2022-06-24 10:48 -  
[DIR]sampling_in_R/2022-06-24 10:48 -  
[DIR]hypothesis testing in R/2022-06-27 12:10 -  
[DIR]Analyzing Survey Data in R/2022-06-30 07:51 -  
[DIR]experimental design in R/2022-07-06 11:53 -  
[DIR]Categorical_data_tidyverse/2022-07-16 07:51 -  
[DIR]Survival analysis in R/2022-07-18 09:18 -  
[DIR]Fundamentals of Bayesian Data Analysis in R/2022-07-19 09:50 -  
[DIR]Foundations of Inference/2022-07-20 11:53 -  
[DIR]String Manipulation in R with stringr/2022-07-22 10:42 -  
[DIR]Web Scraping in R/2022-07-25 12:12 -  
[DIR]Introduction to Shell/2022-07-27 11:55 -  
[DIR]Defensive R programming/2022-07-31 08:02 -  
[DIR]Developing R Packages/2022-08-01 08:25 -  
[DIR]Introduction to text analysis in R/2022-09-09 10:31 -  
[DIR]Text Mining with Bag-of-Words in R/2023-01-10 09:27 -  
[DIR]Sentiment Analysis in R/2023-02-03 09:41 -  
[DIR]Reshaping data with tidyr/2023-02-06 11:44 -  
[DIR]Visualization Best Practices in R/2023-02-07 11:20 -  
[DIR]Functional Programming with purrr/2023-02-08 09:59 -  
[DIR]Intermediate Functional Programming with purrr/2023-02-08 11:50 -  
[DIR]Communicating with Data in the Tidyverse/2023-02-15 11:28 -  
[DIR]Dealing with missing data in R/2023-02-16 10:41 -  
[DIR]Machine Learning in the Tidyverse/2023-02-17 09:31 -  
[DIR]Predictive Analytics using Networked Data in R/2023-02-21 12:03 -  
[DIR]Case Studies: Network Analysis in R/2023-02-23 09:56 -  
[DIR]Intermediate Regression in R/2023-02-23 11:22 -  
[DIR]Machine Learning with Tree-Based Models in R/2023-03-03 09:03 -  
[DIR]Support Vector Machines in R/2023-03-04 09:17 -  
[DIR]Machine Learning with caret in R/2023-03-06 12:00 -  
[DIR]Hyperparameter Tuning in R/2023-03-07 10:00 -  
[DIR]Supervised Learning in R: Classification/2023-03-07 11:00 -  
[DIR]Unsupervised Learning in R/2023-03-07 11:09 -  
[DIR]Cluster Analysis in R/2023-03-07 11:12 -  
[DIR]Bayesian Regression Modeling with rstanarm/2023-03-10 08:43 -  
[DIR]Introduction to Spark with sparklyr in R/2023-03-10 11:56 -  
[DIR]Inference for Categorical Data in R/2023-03-12 09:52 -  
[DIR]Introduction to R/2023-03-12 12:06 -  
[DIR]Intermediate R/2023-03-12 12:14 -  
[DIR]Introduction to the Tidyverse/2023-03-12 12:20 -  
[DIR]Data Manipulation with dplyr/2023-03-12 12:23 -  
[DIR]Joining Data with dplyr/2023-03-12 12:27 -  
[DIR]Introduction to Data Visualization with ggplot2/2023-03-12 12:31 -  
[DIR]Intermediate Data Visualization with ggplot2/2023-03-12 12:44 -  
[DIR]Reporting with R Markdown/2023-03-12 12:50 -  
[DIR]Introduction to Importing Data in R/2023-03-12 12:54 -  
[DIR]Intermediate Importing Data in R/2023-03-12 12:59 -  
[DIR]Cleaning Data in R/2023-03-12 13:10 -  
[DIR]Working with Dates and Times in R/2023-03-12 13:14 -  
[DIR]Introduction to Writing Functions in R/2023-03-12 13:18 -  
[DIR]Exploratory Data Analysis in R/2023-03-12 13:24 -  
[DIR]Case Study: Exploratory Data Analysis in R/2023-03-12 13:30 -  
[DIR]Introduction to Statistics in R/2023-03-12 13:35 -  
[DIR]Introduction to Regression in R/2023-03-12 13:43 -  
[DIR]Supervised Learning in R: Regression/2023-03-12 13:47 -  
[DIR]Writing Efficient R Code/2023-03-12 13:52 -  
[DIR]Data Manipulation with data.table in R/2023-03-12 13:56 -  
[DIR]Joining Data with data.table in R/2023-03-12 14:02 -  
[DIR]Intermediate SQL Queries/2023-03-12 14:11 -  
[DIR]Introduction to Relational Databases in SQL/2023-03-12 14:15 -  
[DIR]Object-Oriented Programming with S3 and R6 in R/2023-03-12 14:21 -  
[DIR]Factor Analysis in R/2023-03-13 07:43 -  
[DIR]ANOVA/2023-03-13 07:59 -  
[DIR]Network Analysis in R/2023-03-14 07:32 -  
[DIR]Inference for Numerical Data in R/2023-03-14 11:17 -  
[TXT]machine_learning_link.txt2023-03-15 07:58 66  
[DIR]Inference for Linear Regression in R/2023-03-18 15:17 -  
[DIR]Network Analysis in the Tidyverse/2023-03-19 12:49 -  
[DIR]Generalized Linear Models in R/2023-03-21 10:31 -  
[DIR]Hierarchical and Mixed Effects Models in R/2023-03-21 10:38 -  
[DIR]Modeling with Data in the Tidyverse/2023-03-22 07:00 -  
[DIR]Generalized aditive models in R/2023-03-26 08:33 -  
[DIR]Dimensionality Reduction in R/2023-03-28 07:34 -  
[DIR]Modeling with tidymodels in R/2023-04-12 06:54 -  
[DIR]Lavaan/2023-06-06 07:12 -  
[DIR]Time Series Analysis in R/2023-06-11 11:55 -  
[DIR]Manipulating Time Series Data with xts and zoo in R/2023-06-12 13:49 -  
[DIR]ARIMA Models in R/2023-06-13 07:39 -  
[DIR]Forecasting in R/2023-06-20 09:10 -  
[DIR]Visualizing Time Series Data in R/2023-06-20 14:46 -  
[DIR]Case Study: Analyzing City Time Series Data in R/2023-06-21 12:03 -  
[DIR]Introduction to R for Finance/2023-06-21 14:27 -  
[DIR]Intermediate R for Finance/2023-06-22 08:48 -  
[DIR]Importing and Managing Financial Data in R/2023-06-23 07:15 -  
[DIR]Bayesian Modeling with RJAGS/2023-09-27 07:30 -  
[DIR]Visualizing Big Data with Trelliscope in R/2023-10-05 07:31 -  
[DIR]Plotly R/2023-10-06 13:59 -  
[DIR]Plotly R advanced/2023-10-10 08:30 -  
[DIR]Programming with dplyr/2023-10-14 14:08 -  
[DIR]Introduction to Portfolio Analysis in R/2023-10-18 12:36 -  
[DIR]Scalable Data Processing in R/2023-10-20 06:54 -  
[DIR]Feature Engineering in R/2023-10-20 10:12 -  
[DIR]Interactive Maps with leaflet in R/2023-10-21 08:32 -  
[DIR]Introduction to Git/2023-10-22 09:20 -  
[DIR]Parallel Programming in R/2023-10-23 08:17 -  
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