PANDAS-TUTORIAL VS 100-Days-Of-ML-Code

Compare PANDAS-TUTORIAL vs 100-Days-Of-ML-Code and see what are their differences.

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PANDAS-TUTORIAL 100-Days-Of-ML-Code
4 3
158 43,302
- -
4.0 0.0
6 months ago 4 months ago
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.

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.

100-Days-Of-ML-Code

Posts with mentions or reviews of 100-Days-Of-ML-Code. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-07.

What are some alternatives?

When comparing PANDAS-TUTORIAL and 100-Days-Of-ML-Code you can also consider the following projects:

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

100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

pandas_exercises - Practice your pandas skills!

Data-science-best-resources - Carefully curated resource links for data science in one place

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

machine_learning_basics - Plain python implementations of basic machine learning algorithms

Data-Engineering-Projects - Personal Data Engineering Projects

machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.

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.

dive-into-machine-learning - Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

py - Repository to store sample python programs for python learning

100DaysOfCode - A GitHub Repo for my #100DaysOfCode challenge projects