#

decision-trees

Here are 1,919 public repositories matching this topic...

LightGBM

microsoft / LightGBM

Open

[ci] warnings from mypy

10

jameslamb commented Jan 27, 2021

Summary

mypy shows some issues in LightGBM's Python package.

mypy \
    --exclude='python-package/compile/|python-package/build' \
    --ignore-missing-imports \
    python-package/

18 errors in 4 files (click me)

python-package/lightgbm/compat.py:12: error: Name 'Series' already defined (possibly by an import)
python-package

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help wanted good first issue

Open

List of dependencies that should be updated from time to time

6

Open

[python-package] type hints in python package

9

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catboost / catboost

Open

Extend Callback Interface

1

ayulockin commented Dec 1, 2021

I am working on creating a WandbCallback for Weights and Biases. I am glad that CatBoost has a callback system in place but it would be great if we can extend the interface.

The current callback only supports after_iteration that takes info. Taking inspiration from XGBoost callback system it would be great if we can have before iteration that takes info, before_training, and `after

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good first issue python

Open

GPU accelerated training not available during multitasking and model retraining

8

Open

can we add namespace when save_model in format cpp?

3

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susanli2016 / Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

random-forest svm linear-regression naive-bayes-classifier pca logistic-regression decision-trees lda polynomial-regression kmeans-clustering hierarchical-clustering svr knn-classification xgboost-algorithm

Updated Jan 17, 2022
Jupyter Notebook

orange3

biolab / orange3

Sponsor

🍊

📊

💡 Orange: Interactive data analysis

visualization python data-science machine-learning data-mining random-forest clustering numpy scikit-learn regression pandas data-visualization classification scipy orange plotting decision-trees visual-programming orange3

Updated Feb 12, 2022
Python

tirthajyoti / Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

flask data-science machine-learning statistics deep-learning neural-network random-forest clustering numpy naive-bayes scikit-learn regression pandas artificial-intelligence pytest classification dimensionality-reduction matplotlib decision-trees k-nearest-neighbours

Updated Jan 26, 2022
Jupyter Notebook

parrt / dtreeviz

A python library for decision tree visualization and model interpretation.

visualization python data-science machine-learning random-forest scikit-learn xgboost decision-trees model-interpretation

Updated Feb 9, 2022
Jupyter Notebook

justmarkham / DAT8

General Assembly's 2015 Data Science course in Washington, DC

python data-science machine-learning natural-language-processing course clustering naive-bayes linear-regression scikit-learn jupyter-notebook pandas data-visualization web-scraping data-analysis ensemble-learning logistic-regression decision-trees regular-expressions data-cleaning model-evaluation

Updated Apr 18, 2016
Jupyter Notebook

kk7nc / Text_Classification

Text Classification Algorithms: A Survey

deep-learning random-forest text-classification recurrent-neural-networks naive-bayes-classifier dimensionality-reduction logistic-regression document-classification convolutional-neural-networks text-processing decision-trees boosting-algorithms support-vector-machines hierarchical-attention-networks nlp-machine-learning conditional-random-fields k-nearest-neighbours deep-belief-network rocchio-algorithm deep-neural-network

Updated Dec 6, 2021
Python

edyoda / data-science-complete-tutorial

For extensive instructor led learning

machine-learning pipeline numpy linear-regression scikit-learn pandas feature-selection nearest-neighbors decision-trees

Updated Jan 23, 2022
Jupyter Notebook

alvinwan / neural-backed-decision-trees

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

pytorch neural-networks imagenet image-classification pretrained-models decision-trees cifar10 interpretability pretrained-weights cifar100 tiny-imagenet explainability neural-backed-decision-trees

Updated Jun 3, 2021
Python

tensorflow / decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

python machine-learning random-forest tensorflow keras ml decision-trees gradient-boosting interpretability decision-forest

Updated Feb 11, 2022
Python

RGF-team / rgf

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

machine-learning ml kaggle decision-trees ensemble-model regularized-greedy-forest decision-forest rgf

Updated Jan 8, 2022
C++

dmitryikh / leaves

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

go golang machine-learning xgboost lightgbm decision-trees boosting

Updated Apr 28, 2021
Go

mdabros / SharpLearning

Machine learning for C# .Net

learning machine-learning opensource deep-learning csharp dotnet random-forest metrics machine cross-validation gradient-boosting-machine ensemble-learning adaboost decision-trees neural-nets

Updated Nov 10, 2021
C#

jmartinezheras / 2018-MachineLearning-Lectures-ESA

Machine Learning Lectures at the European Space Agency (ESA) in 2018

machine-learning text-mining lectures deep-learning neural-network random-forest clustering linear-regression pca topic-modeling machinelearning tf-idf decision-trees support-vector-machines lecture-videos lecture-material lecture-slides anomaly-detection

Updated Aug 29, 2020
Jupyter Notebook

serengil / chefboost

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

python data-science machine-learning data-mining random-forest kaggle id3 gbdt gbm gbrt gradient-boosting-machine cart adaboost decision-trees gradient-boosting c45-trees categorical-features gradient-boosting-machines regression-tree

Updated Feb 2, 2022
Python

fukuball / fuku-ml

Simple machine learning library / 簡單易用的機器學習套件

machine-learning neural-network svm linear-regression regression classification logistic-regression perceptron decision-trees support-vector-machines

Updated Jan 7, 2022
Python

Skylark0924 / Machine-Learning-is-ALL-You-Need

🔥

🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

qlearning random-forest tensorflow keras deep-reinforcement-learning pytorch lstm gan dqn naive-bayes-classifier logistic-regression resnet convolutional-neural-networks support-vector-machine decision-trees ddpg k-nearest-neighbours actor-critic trpo ppo

Updated Dec 12, 2021
Python

jayshah19949596 / Machine-Learning-Models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm

Updated May 15, 2017
MATLAB

arnaldog12 / Machine_Learning

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

python machine-learning neural-network naive-bayes linear-regression machine-learning-algorithms regression feature-selection logistic-regression kmeans adaboost decision-trees polynomial-regression knn principal-component-analysis redes-neurais-artificiais linear-discriminant-analysis multilinear-regression

Updated Apr 11, 2021
Jupyter Notebook

nivu / ai_all_resources

A curated list of Best Artificial Intelligence Resources

python data-science machine-learning statistics reinforcement-learning deep-learning random-forest tensorflow mathematics regression artificial-intelligence gan neural-networks rnn convolutional-neural-networks kmeans support-vector-machine decision-trees knn statquest

Updated Jan 14, 2022
Jupyter Notebook

dlab-berkeley / Machine-Learning-in-R

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

machine-learning tutorial random-forest cluster superlearner lasso xgboost pca decision-trees dlab-berkeley

Updated Mar 25, 2021
CSS

RuleBasedIntegration / Rubi

Open

Include usage message of utility functions into the `Steps` display

halirutan commented Dec 12, 2018

Once #15 is implemented and we have a ::usage message for the integration-step condition function, this information should be included in the Steps display. I imagine for instance a tooltip when the user hovers over the green functions like IGtQ or GtQ

The implementation of this issue will require changed in [ShowStepFormatt

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help wanted good first issue Rubi interface

CynthiaKoopman / Network-Intrusion-Detection

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

machine-learning random-forest cross-validation feature-selection decision-trees datamining intrusion-detection-system network-intrusion-detection kdd99 nsl-kdd

Updated Apr 5, 2020
Jupyter Notebook

cerlymarco / linear-tree

A python library to build Model Trees with Linear Models at the leaves.

machine-learning tree random-forest scikit-learn decision-trees linear-models boosting-tree model-trees

Updated Nov 30, 2021
Jupyter Notebook

google / yggdrasil-decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

cli machine-learning cpp random-forest tensorflow ml cart decision-trees gradient-boosting interpretability decision-forest

Updated Feb 7, 2022
C++

milaan9 / Machine_Learning_Algorithms_from_Scratch

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

data-science machine-learning random-forest machine-learning-algorithms naive-bayes-classifier decision-trees fitting-algorithm dynamic-time-warping machine-learning-python singular-value-decomposition value-iteration-algorithm frequentist-methods error-functions gaussian-naive-bayes machine-learning-matlab python4datascience tutor-milaan9 matlab4datascience

Updated Dec 20, 2021
Jupyter Notebook

MLWithPytorch

Mayurji / MLWithPytorch

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

machine-learning linear-regression machine-learning-algorithms python3 pytorch naive-bayes-classifier pca-analysis gaussian-mixture-models logistic-regression decision-trees ridge-regression naive-bayes-algorithm kmeans-clustering svm-classifier lasso-regression knn-classification pytorch-implementation tfidf-vectorizer adaboost-algorithm

Updated Dec 15, 2021
Python

rojaAchary / 30-Days-of-ML-Kaggle

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

python data-science machine-learning programming optimization numpy scikit-learn jupyter-notebook project pandas python3 kaggle xgboost gradient-descent decision-trees hands-on

Updated Sep 8, 2021
Jupyter Notebook

funq

psaris / funq

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

machine-learning neural-network clustering naive-bayes linear-regression pagerank collaborative-filtering expectation-maximization logistic-regression kdb q k-means decision-trees k-nearest-neighbours reccomendersystem heirarchical-clustering page-rank neural-network-regression neural-network-classification

Updated Dec 28, 2021
q

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