benchmarks VS global-temp-change-animation

Compare benchmarks vs global-temp-change-animation and see what are their differences.

global-temp-change-animation

This animated map shows the change in surface temperature around the world from 1970 to 2021, based on data from Kaggle. (by DovarFalcone)
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benchmarks global-temp-change-animation
1 1
163 0
0.6% -
4.4 2.8
8 days ago about 1 year ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.

benchmarks

Posts with mentions or reviews of benchmarks. We have used some of these posts to build our list of alternatives and similar projects.

global-temp-change-animation

Posts with mentions or reviews of global-temp-change-animation. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing benchmarks and global-temp-change-animation you can also consider the following projects:

pycaret - An open-source, low-code machine learning library in Python

kaggle-courses - Courses on Kaggle

Intrusion-Detection-System-Using-Machine-Learning - Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

deepfake-detection - DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

apartment_recommender_streamlit_app - Streamlit App that recommends apartments in Seattle using the Airbnb kaggle dataset: https://www.kaggle.com/code/rdaldian/airbnb-content-based-recommendation-system/data?select=listings.csv

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.