📢 EuroSciPy 2023: Call for proposals extended until May 14
@sklearn is excited to be part of @euroscipy. You will be able to meet us for an introductory tutorial and a sprint. If you want to propose a sprint, you can write to maintainers@euroscipy.org .
Join us and be part of a vibrant and diverse scientific community powered by Python
Submit your proposal for a talk or a tutorial: https://bit.ly/3NvzYEl
#EuroSciPy #Python #Science #Conference #CallForProposals #sklearn #scikitlearn
#euroscipy #python #science #conference #callforproposals #sklearn #scikitlearn
There's a whole crowd of people out there who need to learn how to do the sklearn.
It's my AI & Machine Learning class.
#python #ai #billieeilish #sklearn #scikit #machinelearning
🥳 Welcome @betatim to our core developer team! We feel very grateful to have such a talented developer among us 🙏
➡️ Go and check his #github account: https://github.com/betatim
#oss #community #developer #Python #MachineLearning #sklearn
#github #oss #community #developer #python #machinelearning #sklearn
🔴 13 fixes
😃 31 contributors
📢 Bugfix release - scikit-learn 1.2.2 is out!
More details in the changelog: http://bit.ly/3YDfX0i
You can upgrade with pip as usual:
pip install -U scikit-learn
or using the conda-forge builds:
conda install -c conda-forge scikit-learn
Thanks to all the contributors!
#data #Python #software #ML #opensource #pydata #scipy #sklearn #machinelearning
#data #python #software #ml #opensource #pydata #scipy #sklearn #machinelearning
Bugfix release - scikit-learn 1.2.1 is out!
🔴 20 fixes
🟡 1 API change
More details in the changelog: http://bit.ly/3ZQfoSG
You can upgrade with pip as usual:
pip install -U scikit-learn
The conda-forge builds will be available shortly:
conda install -c conda-forge scikit-learn
Thanks again to all the contributors!
#data #Python #software #ML #opensource #pydata #scipy #sklearn #machinelearning
#data #python #software #ml #opensource #pydata #scipy #sklearn #machinelearning
Cool, happy to see that Scikit-learn, a toolkit I have used since a lot of years, has opened an account in the Fediverse.
#follow @sklearn
#datascience #sklearn #MachineLearnning #follow
Cool, happy to see that Scikit-learn, a toolkit I have used since a lot of years, has opened an account in the Fediverse.
#follow @sklearn
#MachineLearnning #datascience #follow #sklearn
❄️ The Christmas release is out ❄️
🟢 4 major features & 11 features
🔵 5 efficiency improvements & 42 enhancements
🟡 15 API changes
🔴 33 fixes
More details in the changelog: https://bit.ly/3hh2zPM
You can upgrade with pip as usual:
pip install -U scikit-learn
The conda-forge builds will be available shortly:
conda install -c conda-forge scikit-learn
Thanks again to all the contributors!
#data #Python #software #ML #opensource #pydata #scipy #sklearn #machinelearning
#data #python #software #ml #opensource #pydata #scipy #sklearn #machinelearning
What’s the best way to curate your feed on Mastadon? My interests include: #machinelearning #datascience #talmud #graphtheory #nlp #deeplearning #GraphNeuralNetwork Languages: #python #r #rstats #golang #rust #cypher Projects: #pandas #polars #numpy #sklearn #neo4j
#machinelearning #datascience #talmud #graphtheory #nlp #deeplearning #GraphNeuralNetwork #python #r #rstats #golang #rust #cypher #pandas #polars #numpy #sklearn #neo4j
PSA: to avoid typo-squatters on PyPI we uploaded a magical "sklearn" package with a single dependency to the actual "scikit-learn" years ago.
However many people are confused by this magic package alias and its fixed 0.0 version number.
Next month, this alias will progressively "brown-out": "pip install sklearn" will fail at some predictable times with an informative error message to tell the user to use "pip install scikit-learn" instead.
https://github.com/scikit-learn/sklearn-pypi-package#goal
#introduction
Hello!
Freshly minted quantitative PhD looking for work in #DataScience. Shifting from #macOS to #Linux / #PopOS from #System76 (tiling ftw) , which is my daily driver now.
Using #Python, #SkLearn, #PyTorch, #RStats, #nltk, etc. for #ML #DeepLearning, #Statistics, etc.
Interested in the above and #Electronics #Arduino #ComplexityScience #DynamicalSystems #SystemsThinking #Philosophy #Ethics #Economics #Biases in research, etc.
Trying #ComputerMinimalism, i.e. more text-based.
#introduction #datascience #macos #linux #popos #system76 #python #sklearn #pytorch #rstats #nltk #ml #deeplearning #statistics #electronics #arduino #ComplexityScience #dynamicalsystems #systemsthinking #philosophy #ethics #economics #biases #ComputerMinimalism
first result of this thesis work: logistic regression is slow as fuck. recursive feature elimination on logistic regression is fucking molasses. #python #datascience #sklearn
"A data mining experiment: movie reviews classification using #WEKA"
An interesting result of the experiment is that the best results have been obtained without removal of stop words and without stemming.
I have replicated the experiment with #sklearn, and confirmed it. Using count vectorizer to represent the documents and logistic regression instead of Bayesian networks the results are yet a little better. #MachineLearning #nlproc #SentimentDetection #SentimentAnalysis
http://bit.ly/2BJSn9p
#weka #sklearn #machinelearning #nlproc #sentimentdetection #sentimentanalysis