# Data Science Resources

A collection of resources on data science and machine learning primarily in R.

## R Resources

- R for Data Science - an introduction to R and the tidyverse packages by Hadley Wickham. If you are just getting into R, start here.
- Advanced R - Second Addition - another resource from Hadley Wickham.

## Machine Learning

- Andrew Ng’s ML Course on Corsera
- Distill: Writing from some of the Best in ML
- Landscape Classification with Deep Neural Networks
- Tidy Forecasting in R with Fable, Tutorial 1 and Tutorial 2
- Hands-On Machine Learning with R - Probably the best overall resource I’ve found to date.

## Data Visualization

- R Graph Gallery with examples
- Tidy Tuesday Data Visualization Submissions
- Data to Vis - a compendium of data visualization resources in R by Yan Holtz. This resource includes D3.js resources as well.
- Raster Heatmap NYT Style by Katie Jolly.
- Professional Graphs in R by Clause Wilke

## GIS with R

- Geocomputing with R
- JAKUB NOWOSAD’S WEBSITE - Mapping and geoecology with R.
- MARCO SCIAINI - More mapping and geoecology.
- Katie Jolly’s Website - Really well designed mapping visualizations.
- Zevross Slides on Modern GIS in R. Covers mapping with R from the bottom up using {dplyr}, {sf}, {tmap}, and {raster}. Has a section on interactive maps.

## Statistics

- EdX Statistics and R - Which is part of Data Analysis for Life Sciences Course
- Model Selection 101, using R
- Interpreting Models
- An Introduction to Statistical and Data Sciences via R

## The Kitchen Sink

## Datasets

## Inspiration

## Python

Python Data Science Handbook Problem solving with Algorithms and Data Structures using Python Python Mapping

## Ecology

- r-spatial ecology - set of tools for ecologists
- Data Science for Ecologists and Environmental Scientists - Good course on modeling here.