parisimaa / Machine_learning_note

Informative review notes on Machine Learning / Deep Learning concepts. Each folder represents a distinct branch, including some theoretical explanation + coding and useful examples as well as projects.

Machine_learning_note

Description:

Each folder consists a .ipynb file which includes a summary of important concepts related to the topic.
You may find examples and projects in the main file or in a seperate .py file.
CSV data files are within the folders or addressed to their refrences.

Useful datasets for practicing:

1. Includes data and metadata for OECD countries and selected non-member economies( you can choose different categories such as Health, Labour, Finance, ...)
   https://stats.oecd.org/
   
2. The World Economic Outlook (WEO) database
   https://www.imf.org/en/Publications/SPROLLS/world-economic-outlook-databases#sort=%40imfdate%20descending
   
3. Systolic Blood Pressure Data (Also other datasets are available in chart)
   https://college.cengage.com/mathematics/brase/understandable_statistics/7e/students/datasets/mlr/frames/mlr02.html
   

Contact:

[e-mail]