PANDAS-TUTORIAL VS awesome-machine-learning

Compare PANDAS-TUTORIAL vs awesome-machine-learning and see what are their differences.

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PANDAS-TUTORIAL awesome-machine-learning
4 12
158 63,555
- -
4.0 7.6
6 months ago 7 days ago
Jupyter Notebook Python
- GNU General Public License v3.0 or later
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.

PANDAS-TUTORIAL

Posts with mentions or reviews of PANDAS-TUTORIAL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-19.

awesome-machine-learning

Posts with mentions or reviews of awesome-machine-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-12.

What are some alternatives?

When comparing PANDAS-TUTORIAL and awesome-machine-learning you can also consider the following projects:

100-Days-Of-ML-Code - 100 Days of ML Coding

tails - This is the Tails composer package for Laravel. Easily fetch designs in your Laravel application that you design inside of the Tails Site/Page Builder.

practical-data-engineering - Practical Data Engineering: A Hands-On Real-Estate Project Guide

DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code - 500 AI Machine learning Deep learning Computer vision NLP Projects with code

pandas_exercises - Practice your pandas skills!

Machine-Learning-Algorithms - All Machine Learning Algorithms

Data-Engineering-Projects - Personal Data Engineering Projects

HashtagCashtag - My Insight Data Engineering Fellowship project. I implemented a big data processing pipeline based on ​lambda architecture​, that aggregates Twitter and US stock market data for user sentiment analysis using open source tools - ​Apache Kafka ​for data ingestions, Apache Spark ​& ​Spark Streaming ​for batch & real-time processing, ​Apache Cassandra f​ or storage, ​Flask​, ​Bootstrap and ​HighCharts f​ or frontend.

Face-Recognition-One-Shot-Learning- - This project is based on Siamese Neural Networks & Triplet Loss Functions