GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Scikit-Learn Cheat Sheet: Python Machine Learning
This post originally appeared on the DataCamp blog. Big thanks to Karlijn and all the fine folks at DataCamp for letting us share with the Yhat audience! And be sure to check out DataCamp's other cheat sheets, as well. Scikit-Learn library Most of you who are learning data science with Python will have definitely heard already about scikit-learn, the open source Python library that implements a wi
Top 20 Python Machine Learning Open Source Projects, updated - KDNuggets
Top 20 Python Machine Learning Open Source Projects, updated Open Source is the heart of innovation and rapid evolution of technologies, these days. This article presents you Top 20 Python Machine Learning Open Source Projects of 2016 along with very interesting insights and trends found during the analysis. Continuing analysis from last year: Top 20 Python Machine Learning Open Source Projects, t
Machine Learning Exercises In Python, Part 1
Examining stats about your data can be helpful, but sometimes you need to find ways to visualize it too. Fortunately this data set only has one dependent variable, so we can toss it in a scatter plot to get a better idea of what it looks like. We can use the "plot" function provided by pandas for this, which is really just a wrapper for matplotlib. data.plot(kind='scatter', x='Population', y='Prof
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GitHub - lyst/lightfm: A Python implementation of LightFM, a hybrid recommendation algorithm.
GitHub - parrt/animl: A python machine learning library for structured data.
GitHub - tirthajyoti/Machine-Learning-with-Python: Practice and tutorial-style notebooks covering wide variety of machine learning techniques
GitHub - catboost/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.
GitHub - reiinakano/xcessiv: A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.