dlab-berkeley / Python-Data-Wrangling
D-Lab's 3-hour workshop diving deep into Pandas. Learn how to manipulate, index, merge, group, and plot data frames using Pandas functions.
☆14Updated 4 months ago
Alternatives and similar repositories for Python-Data-Wrangling:
Users that are interested in Python-Data-Wrangling are comparing it to the libraries listed below
- D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualiz…☆35Updated last month
- D-Lab's 6-part, 12-hour introduction to Python. Learn how to create variables, use methods and functions, work with if-statements and for…☆44Updated 4 months ago
- D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compo…☆56Updated 2 years ago
- D-Lab's 3 hour introduction to basic Bash commands and using version control with Git and Github.☆133Updated 10 months ago
- D-Lab's 6 hour introduction to data wrangling with R. Learn how to manipulate dataframes using the tidyverse in R.☆37Updated last year
- Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis…☆124Updated 10 months ago
- D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using t…☆46Updated last year
- D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model sele…☆82Updated 4 months ago
- reproducible research project template for R using Renv and snakemake with an econ application☆63Updated 2 years ago
- Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles☆190Updated 3 years ago
- D-Lab's 3 hour introduction to data visualization with R. Learn how to create histograms, bar plots, box plots, scatter plots, compound f…☆28Updated last year
- D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations,…☆140Updated 2 years ago
- R Markdown 指南(一本八字还没一撇的中文书)☆82Updated 2 years ago
- 自定义 RStudio 快捷键!☆25Updated 3 years ago
- R 语言数据分析实战(写作中) Data Analysis in Action Using R☆72Updated 7 months ago
- Workshop on fetching and mapping census data with tidycensus☆14Updated 2 years ago
- Lecture notes, scripts, and material for the lecture of Selected Statistics Topics in the Autonomous University of Querétaro☆12Updated 3 months ago
- R 语言学习笔记:数据操作、统计图形和数值优化☆75Updated last year
- D-Lab's 12 hour introduction to Python. Learn how to create variables and functions, use control flow structures, use libraries, import d…☆168Updated 2 years ago
- My contributions to the weekly tidytuesday datasets and other data visualizations Made entirely using R (RLang).☆15Updated 2 years ago
- A cheatsheet for basic best practice in R programming☆117Updated 3 months ago
- Source code for Kabacoff, R. R in Action (3rd edition). Manning: Boca Raton, FL.☆110Updated last year
- Software Tools for the Statistical Analysis of Network Data (meta-package)☆41Updated 3 years ago
- ☆90Updated last week
- A practical introduction to R course☆13Updated last year
- ☆71Updated last year
- Data Cleaning for Data Sharing Using R☆11Updated 5 months ago
- Refresher training course on the foundations of statistical analysis. http://tinyurl.com/cruk-stats☆38Updated 3 months ago
- 玩转数据处理120题—R语言tidyverse版本☆97Updated last year
- Venn Diagram by ggplot2, with really easy-to-use API.☆170Updated 2 weeks ago