mfp-wrapped VS russo-ukraine-war-prediction-losses

Compare mfp-wrapped vs russo-ukraine-war-prediction-losses and see what are their differences.

mfp-wrapped

Data app to provide analytics for myfitnesspal users: a calorie counter and food journal (by ismailmo1)

russo-ukraine-war-prediction-losses

Highlights rusian losses with predictions based on historic data from Ministry Defence of Ukraine 🐱‍👤 (by dimitryzub)
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mfp-wrapped russo-ukraine-war-prediction-losses
2 2
1 0
- -
0.0 10.0
3 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

mfp-wrapped

Posts with mentions or reviews of mfp-wrapped. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-07.

russo-ukraine-war-prediction-losses

Posts with mentions or reviews of russo-ukraine-war-prediction-losses. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-13.

What are some alternatives?

When comparing mfp-wrapped and russo-ukraine-war-prediction-losses you can also consider the following projects:

keytotext - Keywords to Sentences

dracula - a brief analysis to the most common words in Dracula, by Bram Stoker

ststats - UK Specialty Training Stats

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.

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.