Hacker News
- Scikit-Learn Version 1.0 https://scikit-learn.org/dev/whats_new/v1.0.html 102 comments
- Scikit-learn user guide (2017) [pdf] http://scikit-learn.org/stable/_downloads/scikit-learn-docs.pdf 12 comments
- Scikit-learn: machine learning in Python http://scikit-learn.org/ 13 comments
- Machine Learning Cheat Sheet Map http://scikit-learn.org/stable/tutorial/machine_learning_map/index.html 17 comments
- Scikit-learn: machine learning in Python http://scikit-learn.org/dev/index.html 7 comments
- How to calculate the best value of K when using K-Nearest Neighbors with Spectral Clustering https://scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralClustering.html 1 comment mlquestions
- Multiple Linear Regression Using Gradient Descent https://scikit-learn.org/stable/modules/linear_model.html#ordinary-least-squares 9 comments learnmachinelearning
- how do you read this For (full code in the link) https://scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html#sphx-glr-auto-examples-linear-model-plot-logistic-l1-l2-sparsity-py 3 comments learnpython
- Usage of vocabulary in countvectorizer https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html 2 comments learnmachinelearning
- part 2: random forests vs decision trees https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html 2 comments learnmachinelearning
- I need some tips and directions on how to approach a regression problem with a very challenging dataset (12 samples, ~15000 dimensions). Give me your 2 cents https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html 13 comments mlquestions
- I need some tips and directions on how to approach a regression problem with a very challenging dataset (12 samples, ~15000 dimensions). Give me your 2 cents https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html 65 comments datascience
- Question about grid search and KFold https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html 5 comments mlquestions
- Is there anything wrong with this approach to feature/model selection? https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html 2 comments learnmachinelearning
- This is SO clever! Using KDE and PCA to generate random handwritten digits. https://scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html#sphx-glr-auto-examples-neighbors-plot-digits-kde-sampling-py 8 comments datascience
- Are some clustering algorithms "strictly dominated strategies", and simply never used? https://scikit-learn.org/stable/auto_examples/cluster/plot_cluster_comparison.html 3 comments learnmachinelearning
- Structures that have fields that start empty but need to get filled later. https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html 12 comments rust
- Trying to understand code for DecisionTreeRegressor in Python's sklearn https://scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html#sphx-glr-auto-examples-tree-plot-tree-regression-py 4 comments learnmachinelearning
- Newb needs help: How to use your own dataset instead of this one. https://scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances.html#sphx-glr-auto-examples-ensemble-plot-forest-importances-py 4 comments learnmachinelearning
- Algorithms for Color Quantization https://scikit-learn.org/stable/auto_examples/cluster/plot_color_quantization.html#sphx-glr-auto-examples-cluster-plot-color-quantization-py 5 comments computervision
- Class Weighting for f1/precision/recall scores in binary classifier necessary? https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html 4 comments learnmachinelearning
- Classification with a number of categories almost as big as number of samples https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html 9 comments learnmachinelearning
- How Python's scikit-learn defines logistic regression https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression 8 comments statistics
- Why is Google Colab (on GPU) slower than a Macbook? https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html 5 comments learnmachinelearning
- Save me from reinventing feature extraction http://scikit-learn.org/stable/modules/preprocessing.html#encoding-categorical-features 9 comments learnmachinelearning
- Understanding sklearn's 'explained_variance_score' http://scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html#sklearn.metrics.explained_variance_score 3 comments datascience
- Comparison of various classifiers from Scikit-Learn http://scikit-learn.org/stable/_images/sphx_glr_plot_classifier_comparison_001.png 10 comments learnmachinelearning
- How do you choose a clustering algorithm? http://scikit-learn.org/stable/_images/sphx_glr_plot_cluster_comparison_0011.png 3 comments datascience
- [python3]Calculating score for naive bayes classifier http://scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html 17 comments learnprogramming
- Accuracy of gaussian process regression: confidence interval vs RMSE? http://scikit-learn.org/stable/modules/gaussian_process.html 5 comments statistics
- [How-To] Technical Trading Using Python and Machine Learning http://scikit-learn.org/stable/user_guide.html 32 comments stocks
- Choosing the right estimator — a Machine Learning cheat sheet map http://scikit-learn.org/stable/tutorial/machine_learning_map/index.html 6 comments compsci
Linking pages
- GitHub - sdmg15/Best-websites-a-programmer-should-visit: :link: Some useful websites for programmers. https://github.com/sdmg15/Best-websites-a-programmer-should-visit 331 comments
- GitHub - LibrePhotos/librephotos: A self-hosted open source photo management service. This is the repository of the backend. https://github.com/LibrePhotos/librephotos 286 comments
- R vs Python for Data Analysis — An Objective Comparison https://www.dataquest.io/blog/python-vs-r/ 237 comments
- Open-sourcing Polynote: an IDE-inspired polyglot notebook | by Netflix Technology Blog | Netflix TechBlog https://medium.com/netflix-techblog/open-sourcing-polynote-an-ide-inspired-polyglot-notebook-7f929d3f447 100 comments
- Cython is 20! | Stefans Welt http://blog.behnel.de/posts/cython-is-20/ 70 comments
- How to speed up the Rust compiler: data analysis assistance requested! | Nicholas Nethercote https://nnethercote.github.io/2023/07/25/how-to-speed-up-the-rust-compiler-data-analysis-assistance-requested.html 63 comments
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
- GitHub - tradytics/eiten: Statistical and Algorithmic Investing Strategies for Everyone https://github.com/tradytics/eiten 48 comments
- The Unreasonable Effectiveness of Random Forests | by Ahmed El Deeb | Rants on Machine Learning | Medium https://medium.com/@D33B/the-unreasonable-effectiveness-of-random-forests-f33c3ce28883 44 comments
- GitHub - jakevdp/PythonDataScienceHandbook: Python Data Science Handbook: full text in Jupyter Notebooks https://github.com/jakevdp/PythonDataScienceHandbook 43 comments
- High-resolution tracking of unconfined zebrafish behavior reveals stimulatory and anxiolytic effects of psilocybin | Molecular Psychiatry https://www.nature.com/articles/s41380-023-02391-7 41 comments
- GitHub - vinta/awesome-python: A curated list of awesome Python frameworks, libraries, software and resources https://github.com/vinta/awesome-python 38 comments
- How I am earning ~500 followers weekly on Instagram using Python and Machine Learning, without moving a finger https://www.linkedin.com/pulse/how-i-am-earning-500-followers-weekly-instagram-using-fernandes/ 33 comments
- Lessons learned from migrating to Python 3 https://able.bio/rhett/lessons-learned-from-migrating-to-python-3--27jsj82 26 comments
- Tuning Your DBMS Automatically with Machine Learning | AWS Machine Learning Blog https://aws.amazon.com/blogs/ai/tuning-your-dbms-automatically-with-machine-learning/ 24 comments
- GitHub - Ledger-Donjon/lascar: Ledger's Advanced Side-Channel Analysis Repository https://github.com/Ledger-Donjon/lascar 24 comments
- GitHub - aeon-toolkit/aeon: A unified framework for machine learning with time series https://github.com/aeon-toolkit/aeon 23 comments
- GitHub - apple/ml-hypersim: Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding https://github.com/apple/ml-hypersim 20 comments
- Building a Better Profanity Detection Library with scikit-learn | by Victor Zhou | Towards Data Science https://medium.com/@victorczhou/building-a-better-profanity-detection-library-with-scikit-learn-3638b2f2c4c2 20 comments
- How to Build a Machine Learning Model in Rust https://www.freecodecamp.org/news/how-to-build-a-machine-learning-model-in-rust/ 20 comments