Machine learning 

Course

• Machine Learning by Andrew Ng - available on youtube 
• Machine learning by mathematicalmonk - available on youtube

Blog

• Machine Learning Mastery - https://machinelearningmastery.com/start-here/

Book

• 'The Elements of Statistical Learning: Data mining, Inference and Prediction', Trevor Hastie, Robert Tibshirani and Jerome H. Friedman (2009) - available online

• 'An Introduction to Statistical Learning with Applications in R', Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2013) - available online

References

• List of references provided in ML project reports and other sources - available on ML wiki

Python tutorial

• Coding and Classification kick-start tutorial for beginner by Statistics Poland - available on Google colab
• Fasttext tutorial by Statistics Canada - available on Github
• Autocoding class by ameasure - available on Github
• TensorFlow tutorial by Hvass Laboratories - available on Github

Datasets

Real data

• ECOICOP data by Statistics Poland - available on Github
• Energy Balance Dataset by Belgium VITO - available on Zenodo