Course Modules
Overview
This course includes a total of six modules:
- Module 1: Course intro and R basics
- Module 2: Data frame and visualization
- Module 3: Geospatial data analysis
- Module 4: Supervised machine learning
- Module 5: Unsupervised machine learning
- Module 6: Deep learning
The content of all six modules is downloadable via this Dropbox link. I am still working on editing the teaching modules to ensure the code is executable on a cloud platform, e.g., Google Colab. You are most welcome to download the module content and work on a local machine. Any feedback is greatly appreciated and can be sent to Dr. Tao Wen by email.
Module Content
/ml_in_ees_modules
├── 10_install_R_anaconda_jupyter.pdf
├── 11_package_test.ipynb
├── 12_intro.ipynb
├── 13_R_basics_part_1.ipynb
├── 14_R_basics_part_2.ipynb
├── 15_R_basics_part_3.ipynb
├── 21_data_analysis_part_1.ipynb
├── 22_data_analysis_part_2.ipynb
├── 23_data_analysis_part_3.ipynb
├── 31_geospatial_data_analysis_1.ipynb
├── 32_geospatial_data_analysis_2.ipynb
├── 41_machine_learning_intro.ipynb
├── 42_supervised_machine_learning_classification.ipynb
├── 43_supervised_machine_learning_linear_regression_1.ipynb
├── 44_supervised_machine_learning_linear_regression_2.ipynb
├── 45_supervised_machine_learning_more_advanced_methods.ipynb
├── 51_unsupervised_machine_learning.ipynb
├── 61_deep_learning_with_keras_R.ipynb
├── data
│ ├── Advertising.csv
│ ├── bioturbation_pure.csv
│ ├── bioturbation_shelf.csv
│ ├── BO2_tempmean_ss_lonlat_30min.tif
│ ├── burl1h2010.txt
│ ├── flights_14.csv
│ ├── Glorich_V01_CSV_plus_Shapefiles_2019_05_24
│ │ ├── catchment_properties.csv
│ │ ├── Documentation_Final_2019_05_24.pdf
│ │ ├── Hartmann et al 2014 A brief overview of the GLORICH.pdf
│ │ ├── hydrochemistry.csv
│ │ ├── references.csv
│ │ ├── River_pCO2_and_SI_calcite_for Raymond et al 2013 and Laerwald et al 2015.zip
│ │ ├── sampling_locations.csv
│ │ └── Shapefiles_GloRiCh
│ ├── ...
├── data_out
├── img
│ ├── 02-sfdiagram.png
│ ├── 04_focal_example.png
│ ├── 2_10.png
│ ├── 2_11.png
│ ├── 2_12.png
│ ├── 2_9.png
│ ├── activation-function.png
│ ├── advertise.png
│ ├── al-ml-dl.png
│ ├── Albers_projection.jpeg
│ ├── ...
└── img_out