Julia implementation of Decision Tree (CART) and Random Forest algorithms
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Nov 9, 2025 - Julia
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random-forests
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A New, Interactive Approach to Learning Python
python data-science machine-learning types algorithms linear-regression structure pytorch logistic-regression random-forests gridsearchcv randomizedsearchcv
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Nov 8, 2023 - Jupyter Notebook
miceRanger: Fast Imputation with Random Forests in R
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Aug 24, 2022 - R
My most frequently used learning-to-rank algorithms ported to rust for efficiency. Try it: "pip install fastrank".
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Mar 3, 2025 - Rust
NeuroData's package for exploring and using progressive learning algorithms
deep-neural-networks deep-learning classification transfer-learning decision-trees domain-adaptation random-forests continual-learning
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Mar 21, 2025 - Jupyter Notebook
Analytics labs notebooks for Statistics and Business School students
text-mining deep-learning keras cnn embeddings neural-networks xgboost image-classification credit-scoring revenue-management bond-pricing random-forests basel-capital-requirements
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Nov 27, 2025 - Jupyter Notebook
Artificial Intelligence for Trading
machine-learning natural-language-processing time-series sentiment-analysis risk-analysis numpy pandas pytorch artificial-intelligence lstm zipline random-forests quants algorithm-trading portifolio-optimization
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Jul 29, 2024 - HTML
Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
python machine-learning statistics ai random-forest scikit-learn ml artificial-intelligence stats feature-engineering ensemble-model boosting interpretability random-forests feature-importance explainable-ai
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Feb 11, 2021 - Python
Machine Unlearning for Random Forests
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Jun 17, 2024 - Python
Exploring QSAR Models for Activity-Cliff Prediction
machine-learning deep-learning k-nearest-neighbours morgan-fingerprints supervised-machine-learning random-forests circular-fingerprints graph-neural-networks molecular-representation multilayer-perceptrons qsar-models extended-connectivity-fingerprints molecular-property-prediction graph-isomorphism-networks activity-cliffs activity-cliff-prediction physicochemical-descriptors binding-affinity-prediction
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May 17, 2024 - Jupyter Notebook
Scripts, tools and example data for mapping wetland ecosystems using data driven R statistical methods like Random Forests and open source GIS
package random-forest data-driven statistical-methods raster british-columbia random-forests mapping-wetland-ecosystems wetland-model rsaga saga-gis
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Mar 17, 2022 - R
Conceptual & empirical comparisons between decision forests & deep networks
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May 30, 2025 - Jupyter Notebook
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn and TensorFlow-Keras
python data-science machine-learning linear-regression exploratory-data-analysis cross-validation data-visualization supervised-learning xgboost logistic-regression regularization decision-trees predictive-modeling ridge-regression support-vector-machines elastic-net oversampling lasso-regression random-forests k-nearest-neighbors
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Jul 5, 2024 - Jupyter Notebook
A model combining Deep Neural Networks and (Stochastic) Random Forests.
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Jun 5, 2018 - Python
OCaml Random Forests
machine-learning regression ocaml-library classification bagging random-forests statistical-modeling out-of-bag bootstrap-aggregation
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Jan 10, 2023 - OCaml
Become a proficient, productive and powerful programmer with Python
python machine-learning numpy cython histogram pandas pytorch logistic-regression histograms random-forests gridsearchcv python37
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Aug 27, 2019 - Jupyter Notebook
Combining phylogenetic networks and Random Forests for prediction of ancestry from multilocus genotype data
machine-learning analysis structure ancestry phylogenetics dimensionality-reduction population-genetics admixture mycorrhiza random-forests splitstree multilocus-genotype-data
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Oct 15, 2020 - Python
Awesome papers on Ensemble Learning
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Jun 5, 2020
Cross-gazetteer record linking of natural features in Switzerland using machine learning (random forests) and handcrafted rules.
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Sep 26, 2025 - HTML
Portfolio Projects through my Data Science and Machine Learning Course program.
python portfolio data-science machine-learning svm pca decision-trees kmeans-algorithm random-forests regression-algorithms knn-algorithm
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Jul 30, 2020 - Jupyter Notebook
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