machine-learning-roadmap VS Hello-Kaggle

Compare machine-learning-roadmap vs Hello-Kaggle and see what are their differences.

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machine-learning-roadmap Hello-Kaggle
5 4
7,164 78
- -
0.0 3.8
over 1 year ago over 3 years ago
MIT License 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.

machine-learning-roadmap

Posts with mentions or reviews of machine-learning-roadmap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-07.

Hello-Kaggle

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

What are some alternatives?

When comparing machine-learning-roadmap and Hello-Kaggle you can also consider the following projects:

applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

stanford-cs-229-machine-learning - VIP cheatsheets for Stanford's CS 229 Machine Learning

lemon-dataset - Lemons quality control dataset

interviews.ai - It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

apple-appstore-apps - Apple AppStore Apps dataset. (1.2 million App Data) and 21 attributes

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

datasets-for-good - List of datasets to apply stats/machine learning/technology to the world of social good.

Knet.jl - Koç University deep learning framework.

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems.

dataset-registry - Dataset registry DVC project