russo-ukraine-war-prediction-losses
mfp-wrapped
| russo-ukraine-war-prediction-losses | mfp-wrapped | |
|---|---|---|
| 2 | 2 | |
| 0 | 1 | |
| - | - | |
| 10.0 | 0.0 | |
| over 1 year ago | 3 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
russo-ukraine-war-prediction-losses
-
[OC] 1 Year Russian Personnel Prediction Losses in Russo-Ukraine War
There's also a dataset: https://www.kaggle.com/datasets/dimitryzub/russian-losses-in-russia-ukraine-war or https://github.com/dimitryzub/russo-ukraine-war-prediction-losses
mfp-wrapped
- MyFitnessPal Wrapped - Analyse your food diaries (for any date range)
-
MyFitnessPal Wrapped - I created a website to analyse your food diaries for the year (or any date range)
If you're interested in how it was made, checkout the code here: https://github.com/ismailmo1/mfp-wrapped
What are some alternatives?
dracula - a brief analysis to the most common words in Dracula, by Bram Stoker
keytotext - Keywords to Sentences
Digital-Learning-During-COVID19-EDA - In this project, we will be using data analysis tools to figure out trends in digital learning and how it is effective towards improvised communities. We will be comparing districts and states on factors like demography, internet access, learning product access, and finance.
ststats - UK Specialty Training Stats
DataScienceProjects
examples - 📝 Examples of how to use Neptune for different use cases and with various MLOps tools
MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.
code - Compilation of R and Python programming codes on the Data Professor YouTube channel.