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r_exercises_raster_tutorial

Raster tutorial for R-exercises blog

remote-sensing-class

remote-sensing-workshops

2017 workshop content for http://wenfo.org/wald/advanced-remote-sensing

remote_rasterio

research_computing_2018

2018 Iteration of Research Computing in Earth Science

rmodis

R script download, mosaic, reproject and rescale /250m /MOD13Q1 EVI, NDVI by year

rossmann_store_sale_demand_forecast

Forecast sales using store, promotion, and competitor data

school_geolookup

School Geocoder for Generation NEXT

scipy2018-geospatial-data

scripts_backup

General backup for all R scripts on seagate

section_workbooks

Workbooks for practice during discussion section

serena

Phenology Metrics, python, GloFoodS - Serena - SimCo - Lysa

siml

Machine Learning algorithms implemented from scratch

sit742

Week 01 to Week 11, Python, Jupyter SIT742: Modern Data Science

smap_python_notebooks

Soil Moisture Active and Passive (SMAP), Python, Jupyter, bulk download

soft2018fall-bi-teaching-material

This repository contains lecture notes and exercises for the Business Intelligence elective course at Copenhagen Business Academy.

solar-radiation-budget

Temperature Anomalies, Jupyter, Latitude, Longitude, Project analyzing and visualizing the Earth's solar radiation budget

spatial

GIS and Spatial Analysis lecture notes

springboard

sql_and_pandas

A series of query exercises solved with SQL (postgres) and Python's Pandas module

sql_workshops

SQL and Relational Database and Python

starsextra

Miscellaneous Functions for Working with 'stars' Rasters

stats-in-r

Introduction to Basic Statistics with R

synoptic

Netcdf, Multi-dimensional Data, jupyter, latest incarnation of dev_notebooks for OOI was revelle

team-drip

NDVI, EVI, Phenology, Jupyter, Land-surface phenology during drought in the Murray-Darling Basin

time-series-analysis-1

code and data for the time series analysis vids on my YouTube channel

time-series-forecasting-and-analysis-of-store-sales-of-corporation-favorita-products

This is a time series forecasting project. We'll predict store sales on data from Corporation Favorita, a large Ecuadorian-based grocery retailer. We are provided with 6 csv files (train, test, store, oil, holidays_events, transactions) containing data about products, stores, promotions, sales, oil prices, holidays and more. Our target: sales.

time_series_python_datacamp-2_datasets

🍧 DataCamp data-science and machine learning courses

time_series_training_datacamp

Datacamp course https://app.datacamp.com/learn/skill-tracks/time-series-with-python

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