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awesome-gradient-boosting-papers

benedekrozemberczki / awesome-gradient-boosting-papers

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Star 985

A curated list of gradient boosting research papers with implementations.

classifier machine-learning deep-learning random-forest h2o xgboost lightgbm gradient-boosting-machine adaboost decision-tree gradient-boosting-classifier classification-algorithm gradient-boosting boosting classification-trees xgboost-algorithm catboost gradient-boosted-trees classification-tree gradient-boosting-decision-trees
  • Updated Mar 16, 2024
  • Python

farhanchoudhary / Machine_Learning_A-Z_All_Codes_and_Templates

Star 33

All codes, both created and optimized for best results from the SuperDataScience Course

natural-language-processing reinforcement-learning deep-learning clustering cross-validation naive-bayes-classifier thompson-sampling neural-networks classification dimensionality-reduction grid-search principal-component-analysis clustering-algorithm upper-confidence-bounds k-fold xgboost-algorithm association-rule-learning machine-learning-az
  • Updated Nov 5, 2017
  • Python

yogeshwaran-shanmuganathan / Airline-Passenger-Satisfaction

Star 24

Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.

python random-forest exploratory-data-analysis jupyter-notebook naive-bayes-classifier logistic-regression decision-tree-classifier customer-satisfaction factors knn-classification rapidminer xgboost-algorithm crisp-dm airline-passengers adaboost-classifier passenger-satisfaction airline-passenger-satisfaction
  • Updated Sep 1, 2023
  • Jupyter Notebook

sauravmishra1710 / Heart-Failure-Condition-And-Survival-Analysis

Star 37

Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.

machine-learning exploratory-data-analysis machine-learning-algorithms data-visualization survival-analysis healthcare-datasets cox-regression healthcare-application time-to-event xgboost-algorithm lgbm kaplan-meier-plot heartfailure cardiovascular-diseases kaplanmeierfitter
  • Updated Nov 4, 2023
  • Jupyter Notebook

jaydipkumar / Data-Science-Python

Star 27

Data Science Python Beginner Level Project

neural-network random-forest machine-learning-algorithms datascience pca artificial-neural-networks convolutional-neural-networks kmeans support-vector-machines decision-tree nlp-machine-learning clustering-algorithm forecasting-models machine-learning-tutorials xgboost-algorithm machine-learning-projects knn-algorithm eclat-algorithm apriori-algorithm-python machine-learning-projects-beginners
  • Updated Jul 11, 2020
  • Jupyter Notebook

kush1912 / FAKE-NEWS-DETECTION

Star 8

Machine learning Based Minor Project, which uses various classification Algorithms to classify the news into FAKE/REAL, on the basis of their Title and Body-Content. Data has been collected from 3 different sources and uses algorithms like Random Forest, SVM, Wordtovec and Logistic Regression. It gave 94% accuracy.

random-forest guardian svm machine-learning-algorithms fake ipynb logistic-regression word2vec-model webscraping classification-algorithm nyt xgboost-algorithm scrap-data
  • Updated Jan 9, 2019
  • Jupyter Notebook

Hashehri / Network-Traffic-Classification-UNSW-NB15

Star 14

Binary Classification for detecting intrusion network attacks. In order, to emphasize how a network packet with certain features may have the potentials to become a serious threat to the network.

machine-learning ai deep-learning random-forest sklearn python3 logistic-regression pickle network-analysis network-security classification-algorithims knn-classification voting-classifier xgboost-algorithm stacking-ensemble decsion-tree
  • Updated Dec 19, 2021
  • Jupyter Notebook

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