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Data Science toolset summary from 2021
13 projects | dev.to | 13 Nov 2021
Catboost - CatBoost is an open-source software library developed by Yandex. It provides a gradient boosting framework which attempts to solve for Categorical features using a permutation driven alternative compared to the classical algorithm. Link - https://catboost.ai/
CatBoost Quickstart — ML Classification
2 projects | dev.to | 15 Mar 2021
CatBoost is an open source algorithm based on gradient boosted decision trees. It supports numerical, categorical and text features. Check out the docs.
[D] What are your favorite Random Forest implementations that support categoricals
2 projects | reddit.com/r/MachineLearning | 20 Feb 2021
If you considering GBDT check out catboost, unfortunately RF mode is not available but library implement lots of interesting categorical encoding tricks that boost accuracy.
CatBoost and Water Pumps
2 projects | dev.to | 20 Feb 2021
The data contains a large number of categorical features. The most suitable for obtaining a base-line model, in my opinion, is CatBoost. It is a high-performance, open-source library for gradient boosting on decision trees.
What are some alternatives?
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Recommender - A C library for product recommendations/suggestions using collaborative filtering (CF)
Porcupine - On-device wake word detection powered by deep learning.
vowpal_wabbit - Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
mlpack - mlpack: a scalable C++ machine learning library --
faiss-server - faiss serving :)
NN++ - A small and easy to use neural net implementation for C++. Just download and #include!
Caffe - Caffe: a fast open framework for deep learning.
Dlib - A toolkit for making real world machine learning and data analysis applications in C++