kaggle-solutions VS data-science-ipython-notebooks

Compare kaggle-solutions vs data-science-ipython-notebooks and see what are their differences.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. (by donnemartin)
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kaggle-solutions data-science-ipython-notebooks
8 1
3,753 26,490
- -
6.4 0.0
24 days ago about 1 month ago
HTML Python
MIT License 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.

kaggle-solutions

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

data-science-ipython-notebooks

Posts with mentions or reviews of data-science-ipython-notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-27.

What are some alternatives?

When comparing kaggle-solutions and data-science-ipython-notebooks you can also consider the following projects:

datascience - Curated list of Python resources for data science.

manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning

data-science-interviews - Data science interview questions and answers

BirdNET - Soundscape analysis with BirdNET.

jube - Jube is an open-source software designed for monitoring transactions and events. It offers a range of powerful features including real-time data wrangling, artificial intelligence, decision making, and case management. Jube's exceptional performance is particularly evident in its application to fraud prevention and abuse detection scenarios.

fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

sports-betting - Collection of sports betting AI tools.

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.

PMapper - A tool for quickly evaluating IAM permissions in AWS.