Machine Learning Cheatsheets
All Necessary Cheat Sheets for Machine Learning, Deep Learning and Data Science Researchers
Python
numpy | pandas-basic | pandas-advance | data-wrangling |
import-data | scipy | scikit-learn | keras |
matplotlib | seaborn | bokeh | python |
pyspark-basic | pyspark-sql | pyspark-rdd |
R
ggplot2 | caret | datatable-1 | datatable-2 |
h2o | dplyr | sparklyr | tidyverse |
purrr | keras | r-basic | r-advance |
quanteda | readr | regex | rmarkdown |
shiny | sjmisc | leaflet | stringr |
survminer | lubridate | xts | cartography |
Misc.
devtools | tensorflow | rstudio-ide | jupyter |
latex | markdown | ml-modeling | ml-r |
mosaic | nardl | periodic-table | prob-stat |
r-syntax | randomizr | regex | graph-size |
sf | eurostat | xplain |
Acknowledge
Most of the cheatsheats have been extracted from DataCamp Community, RStudio Github and RStudio Website