boosting-algorithms

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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 Oct 10, 2024
Python

ptyadana / Data-Science-and-Machine-Learning-Projects-Dojo

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collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

data-science machine-learning natural-language-processing deep-learning tensorflow scikit-learn machine-learning-algorithms keras pandas data-visualization seaborn data-analysis boosting-algorithms probability-statistics

Updated Mar 8, 2023
Jupyter Notebook

a-martyn / ISL-python

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Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

bootstrap machine-learning random-forest linear-regression statistical-learning supervised-learning pca logistic-regression boosting-algorithms lda islr bagging

Updated Jul 20, 2024
Jupyter Notebook

arogozhnikov / hep_ml

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Machine Learning for High Energy Physics.

python machine-learning scikit-learn neural-networks high-energy-physics boosting-algorithms splot reweighting-algorithms

Updated Oct 16, 2024
Jupyter Notebook

qiyiping / gbdt

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machine-learning gbdt gbm gbrt gradient-boosting-machine boosting-algorithms gradient-boosting gradient-boosting-decision-trees

Updated Jun 19, 2022
C++

Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).

machine-learning cran tutorials variable-selection gam modelling r-language glm r-package mboost boosting-algorithms

Updated Nov 5, 2024
HTML

sharmaroshan / Drugs-Recommendation-using-Reviews

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Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

machine-learning data-mining deep-learning data-visualization feature-selection recommendation-system data-analysis boosting-algorithms feature-engineering data-cleaning hybrid-model bagging

Updated Apr 29, 2020
Jupyter Notebook

AlbertoAlmuinha / boostime

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The Tidymodels Extension for Time Series Boosting Models

r time-series tidyverse forecasting boosting-algorithms tidymodels

Updated Aug 10, 2022
R

ngchc / deepBoosting

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Deep Boosting for Image Denoising in ECCV 2018 and its Real-world Extension in IEEE Transactions on Pattern Analysis and Machine Intelligence

deep-learning boosting-algorithms image-denoising real-world-images

Updated Jun 12, 2019
Python

egaoharu-kensei / ML-algorithms-from-scratch.-Course-for-beginners

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ML-algorithms from scratch using Python. Classic Machine Learning course.

Updated Oct 24, 2024
Jupyter Notebook

nuanio / xgboost-node

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Run XGBoost model and make predictions in Node.js

nodejs javascript machine-learning algorithm xgboost gbdt boosting-algorithms

Updated Oct 30, 2017
Cuda

Puneet2000 / In-Depth-ML

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In depth machine learning resources

machine-learning svm probability cross-validation regression cnn kaggle gan rnn ensemble logistic-regression preprocessing decision-trees boosting-algorithms stacking linear-discriminant-analysis boosting perceptron-learning-algorithm transpose-convolution

Updated Dec 4, 2018
Jupyter Notebook

yubin-park / bonsai-dt

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Programmable Decision Tree Framework

machine-learning machine-learning-algorithms gbdt gradient-boosting-machine boosting-algorithms decision-tree boosting-tree

Updated Jun 6, 2019
Python

bourbaki / catboost-go

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Catboost Go Wrapper

golang machine-learning boosting-algorithms

Updated Mar 19, 2018
Go

boost-R / gamboostLSS

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Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).

machine-learning cran variable-selection r-language r-package boosting-algorithms gamboostlss gamlss