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laguill<p>Hi <a href="https://fosstodon.org/tags/FediHelp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FediHelp</span></a> 👋<br>As I am learning <a href="https://fosstodon.org/tags/scikitlearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scikitlearn</span></a> do you have any resources to work with knn_imputer ?</p><p>I want to replace NAN values.</p><p>How do you<br>- Select optimized n_neighbors<br>- Visualize what the imputer do with plots or metrics</p><p>Any link to blog post or tutorials are welcome 🙂<br>Thanks</p><p><a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a></p>
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Alex Zap<p><a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <br><a href="https://mastodon.social/tags/mlops" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mlops</span></a> <a href="https://mastodon.social/tags/realtime" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>realtime</span></a> <a href="https://mastodon.social/tags/neuralnetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuralnetwork</span></a> <a href="https://mastodon.social/tags/scikitlearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scikitlearn</span></a> </p><p>Continuous Machine Learning (CML): Basics & Best Practices for Adoption<br>The systematic way of learning continually from real-time data.<br>Plot: CML Confusion Matrix<br><a href="https://mastodon.social/tags/exploremore" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>exploremore</span></a> 👇 <br><a href="https://medium.com/@alexzap922/continuous-machine-learning-cml-basics-best-practices-for-adoption-257c19fbcbe9?sk=98bf072ddaccccd67ba83686261d8b15" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@alexzap922/continu</span><span class="invisible">ous-machine-learning-cml-basics-best-practices-for-adoption-257c19fbcbe9?sk=98bf072ddaccccd67ba83686261d8b15</span></a></p>
Alex Zap<p><a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://mastodon.social/tags/algorithm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>algorithm</span></a> <a href="https://mastodon.social/tags/scikitlearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scikitlearn</span></a> <br><a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://mastodon.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialintelligence</span></a> <br><a href="https://mastodon.social/tags/technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>technology</span></a> <br><a href="https://mastodon.social/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> <br><a href="https://mastodon.social/tags/guide" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>guide</span></a> <a href="https://mastodon.social/tags/tutorial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tutorial</span></a> <br>👉 A Comprehensive Guide to 85 Supervised Machine Learning Algorithms in Scikit-Learn — Part 1. Regressors</p><p> 👉 Best Practices in Building & Training ML Models with 51 Regressors (Codes, Plots, and More)</p><p>Master all-in-one AI concepts and develop hands-on ML skills with one of the most popular and powerful libraries for ML in Python!</p><p><a href="https://mastodon.social/tags/exploremore" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>exploremore</span></a> 👇 </p><p><a href="https://medium.com/@alexzap922/a-comprehensive-guide-to-85-supervised-machine-learning-ml-algorithms-in-scikit-learn-part-1-9168aee3cf2a?sk=712ecb27162654086ea9780a0d19a5be" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@alexzap922/a-compr</span><span class="invisible">ehensive-guide-to-85-supervised-machine-learning-ml-algorithms-in-scikit-learn-part-1-9168aee3cf2a?sk=712ecb27162654086ea9780a0d19a5be</span></a></p>
Eric Maugendre<p><span class="h-card" translate="no"><a href="https://a.gup.pe/u/data" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>data</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/datadon" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>datadon</span></a></span> 🧵</p><p>Redressing <a href="https://hachyderm.io/tags/Bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bias</span></a>: "Correlation Constraints for Regression Models":<br>Treder et al (2021) <a href="https://doi.org/10.3389/fpsyt.2021.615754" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.3389/fpsyt.2021.615</span><span class="invisible">754</span></a></p><p><a href="https://hachyderm.io/tags/dataDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataDev</span></a> <a href="https://hachyderm.io/tags/linearRegression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>linearRegression</span></a> <a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probabilities</span></a> <a href="https://hachyderm.io/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://hachyderm.io/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://hachyderm.io/tags/modelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelling</span></a> <a href="https://hachyderm.io/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> <a href="https://hachyderm.io/tags/correctionRatio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correctionRatio</span></a> <a href="https://hachyderm.io/tags/skLearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>skLearn</span></a> <a href="https://hachyderm.io/tags/scikitLearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scikitLearn</span></a> <a href="https://hachyderm.io/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://hachyderm.io/tags/AIDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIDev</span></a></p>
Steve Duncan<p>Sometimes I wonder how many other people working in some business are learning <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> and <a href="https://mastodon.social/tags/scikitlearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scikitlearn</span></a> because someone said “We need better <a href="https://mastodon.social/tags/forecasting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>forecasting</span></a>” and is performing the n+1th analysis of industry metrics. We think we’re blazing a new trail but it’s really just a shortcut through the vacant lot on the way to school.</p>
PyData Madrid<p>Ya está abierto el registro para nuestra reunión de febrero: 🔍 Eficiencia operacional con LLMs y pipelines de scikit-learn, este mes en las oficinas de Adyen</p><p><a href="https://www.meetup.com/pydata-madrid/events/299189759/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">meetup.com/pydata-madrid/event</span><span class="invisible">s/299189759/</span></a></p><p>¡Nos vemos el jueves 22 a las 19:00! Y después, networking 🍻</p><p><a href="https://masto.ai/tags/PyDataMadrid" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyDataMadrid</span></a> <a href="https://masto.ai/tags/PyData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyData</span></a> <a href="https://masto.ai/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://masto.ai/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://masto.ai/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llm</span></a> <a href="https://masto.ai/tags/scikitlearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scikitlearn</span></a> <a href="https://masto.ai/tags/sklearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sklearn</span></a></p>
Kyle Taylor<p>This was surprising: ... APT packages have higher package dependency and package reach than PIP packages, resulting in a significant source of bloat and vulnerability...</p><p>I'd assumed that OS repositories would have more testing than PyPi. More eyes catching and reporting bugs / vulnerabilities. </p><p>Also, you apparently can't use tensorflow. Or use anything with a POSIX (libc) dependency. Or libssl. </p><p>Takeaways : Use base <a href="https://hostux.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a>, <a href="https://hostux.social/tags/PyPi" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyPi</span></a>, <a href="https://hostux.social/tags/Numpy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Numpy</span></a>, <a href="https://hostux.social/tags/Rust" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Rust</span></a></p><p><a href="https://hostux.social/tags/scikitlearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scikitlearn</span></a> <a href="https://hostux.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://hostux.social/tags/Docker" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Docker</span></a></p><p><span class="h-card" translate="no"><a href="https://mastodon.social/@gvwilson" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>gvwilson</span></a></span></p>
scikit-learn<p>Discover scikit-learn 1.4 and its:<br>🟢 5 major features & 13 features<br>🔵 14 efficiency improvements & 23 enhancements<br>🟡 15 API changes<br>🔴 38 fixes</p><p>More details in the changelog: <a href="https://bit.ly/3tWlZA3" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/3tWlZA3</span><span class="invisible"></span></a><br>or in the release highlights: <a href="https://bit.ly/3Hsoddm" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/3Hsoddm</span><span class="invisible"></span></a></p><p>You can upgrade with pip as usual: <br>pip install -U scikit-learn</p><p>Or using the conda-forge builds: <br>conda install -c conda-forge scikit-learn</p><p>Thanks again to all the +80 contributors! </p><p><a href="https://fosstodon.org/tags/scikitlearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scikitlearn</span></a> <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://fosstodon.org/tags/sklearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sklearn</span></a> <a href="https://fosstodon.org/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://fosstodon.org/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a></p>
scikit-learn<p>Discover scikit-learn 1.3 and its:<br>🟢 5 major features & 11 features<br>🔵 5 efficiency improvements & 31 enhancements<br>🟡 18 API changes<br>🔴 41 fixes</p><p>More details in the changelog: <a href="https://bit.ly/3CRt6dE" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/3CRt6dE</span><span class="invisible"></span></a><br>or in the release highlights: <a href="https://bit.ly/46wYkES" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/46wYkES</span><span class="invisible"></span></a></p><p>You can upgrade with pip as usual:<br>pip install -U scikit-learn</p><p>The conda-forge builds will be available shortly:<br>conda install -c conda-forge scikit-learn</p><p>Thanks again to all the +200 contributors!</p><p><a href="https://fosstodon.org/tags/scikitlearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scikitlearn</span></a> <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://fosstodon.org/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://fosstodon.org/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a></p>
Ryan Anderson<p>In my <a href="https://fediscience.org/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a> post I didn't realize the importance of hashtags yet, so here are a bunch of things I'm interested in! Follow me, I'll follow you, everyone wins!</p><p>Work-related:<br><a href="https://fediscience.org/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>science</span></a> <br><a href="https://fediscience.org/tags/scicomm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scicomm</span></a> <br><a href="https://fediscience.org/tags/space" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>space</span></a> <br><a href="https://fediscience.org/tags/geology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geology</span></a> <br><a href="https://fediscience.org/tags/astronomy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>astronomy</span></a> <br><a href="https://fediscience.org/tags/mars" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mars</span></a> <br><a href="https://fediscience.org/tags/CuriosityRover" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CuriosityRover</span></a><br><a href="https://fediscience.org/tags/PerseveranceRover" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PerseveranceRover</span></a><br><a href="https://fediscience.org/tags/planets" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>planets</span></a><br><a href="https://fediscience.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <br><a href="https://fediscience.org/tags/scikitlearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scikitlearn</span></a> <br><a href="https://fediscience.org/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a></p><p>Non-work:<br><a href="https://fediscience.org/tags/books" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>books</span></a><br><a href="https://fediscience.org/tags/writing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>writing</span></a><br><a href="https://fediscience.org/tags/writers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>writers</span></a> <br><a href="https://fediscience.org/tags/authors" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>authors</span></a> <br><a href="https://fediscience.org/tags/nanowrimo" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nanowrimo</span></a> <br><a href="https://fediscience.org/tags/poetry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>poetry</span></a> <br><a href="https://fediscience.org/tags/quotes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>quotes</span></a><br><a href="https://fediscience.org/tags/fantasy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fantasy</span></a> <br><a href="https://fediscience.org/tags/scifi" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scifi</span></a> <br><a href="https://fediscience.org/tags/history" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>history</span></a> <br><a href="https://fediscience.org/tags/gaming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gaming</span></a><br><a href="https://fediscience.org/tags/rpg" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rpg</span></a><br><a href="https://fediscience.org/tags/parenting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>parenting</span></a><br><a href="https://fediscience.org/tags/photography" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>photography</span></a><br><a href="https://fediscience.org/tags/hiking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>hiking</span></a> <br><a href="https://fediscience.org/tags/skiing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>skiing</span></a><br><a href="https://fediscience.org/tags/philosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>philosophy</span></a></p>
Pybonacci (no war)<p><a href="https://mastodon.social/tags/ScikitLearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScikitLearn</span></a> Version 1.0.0 is on the corner!!!</p><p><a href="https://scikit-learn.org/dev/whats_new/v1.0.html" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">scikit-learn.org/dev/whats_new</span><span class="invisible">/v1.0.html</span></a></p><p><a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a></p>
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