This repository contains the code for the paper "A flow-based IDS using Machine Learning in eBPF", Contact: Maximilian Bachl
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Apr 19, 2024 - C
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tree-based-methods
Here are 23 public repositories matching this topic...
Solutions of applied exercises contained in "An Introduction to Statistical Learning with Applications in Python", by Tibshirani et al, edition 2023
python machine-learning deep-learning clustering statistical-learning regression exercise classification survival-analysis multiple-testing support-vector-machines self-learning python-codes resampling-methods applied-exercises tree-based-methods islp shrinkage-approaches
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Oct 30, 2023 - Jupyter Notebook
Tree-based survival analysis from scratch
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Feb 20, 2025 - Python
Implementation of Decision Tree and Ensemble Learning algorithms in Python with numpy
machine-learning tree random-forest gradient-boosting-machine adaboost gradient-boosting tree-based-methods
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Oct 4, 2020 - Jupyter Notebook
This is a customer loyalty analysis based on historical purchase behavior in R language.
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Sep 13, 2020 - HTML
A collection of various applied Machine Learning and Artificial Intelligence projects I have done.
nlp data-science machine-learning computer-vision deep-learning artificial-intelligence supervised-learning support-vector-machines classification-algorithm unsupervised-machine-learning perceptron-learning-algorithm tree-based-methods llms
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Aug 8, 2024 - Jupyter Notebook
Analyzing the binary gender difference in lead roles using statistical machine learning
python machine-learning dnn data-analysis knn boosting statistical-machine-learning tree-based-methods
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Mar 6, 2023 - Python
Codes for the paper On marginal feature attributions of tree-based models
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Jul 9, 2024 - Jupyter Notebook
A machine learning project, predicting hourly bike rentals in Seoul.
machine-learning random-forest rstudio tidyverse regression xgboost cubist tidymodeling tree-based-methods
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Jul 29, 2023 - R
Kaggle competition: predicting forest cover type with multiclass classification algorithms. Logistic Regression, SVC, KNN, Decision Tree, Random Forest, XGBoost, AdaBoost, LightGBM, & Extra Trees.
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Sep 10, 2023 - Jupyter Notebook
Tree-based algorithms for solving a game of Flappy Bird.
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Apr 7, 2023 - Jupyter Notebook
Kaggle competition: predicting bikeshare demand with regression techniques. Linear/Lasso/Ridge Regression, KNN, Decision Tree, Random Forest, AdaBoost, XGBoost.
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Sep 10, 2023 - Jupyter Notebook
Tree methods for customer churn prediction. Creating a model to predict whether or not a customer will Churn .
python tree numpy scikit-learn pandas seaborn matplotlib churn-prediction churn-user-prediction churn-analysis customer-churn-prediction customer-churn customer-churn-analysis tree-based-methods customer-churn-prediction-with-machine-learning
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Mar 15, 2024 - Jupyter Notebook
Supervised learning and unsupervised in R, with a focus on regression and classification methods.
bootstrap clustering cross-validation lasso model-selection splines logistic-regression knn principal-components quadratic-discriminant-analysis linear-discriminant-analysis boosting generalized-additive-models random-forests ridge regularization-methods tree-based-methods support-vector-machnes
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Oct 16, 2020 - R
Random Forests Tree-Based Model in Machine Learning (exercise using Iris data)
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May 24, 2021 - Python
Linear & logistic regression, model assessment and selection, and gradient boosted trees
linear-regression cross-validation feature-selection classification logistic-regression linear-models gradient-boosting random-forests tree-based-methods
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Sep 12, 2021 - Jupyter Notebook
Telecom Churn analysis using various tree based classification models
python machine-learning random-forest pandas xgboost adaboost decision-trees boosting-algorithms gradient-boosting tree-based-methods telecom-churn-prediction telecom-churn-analysis
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Jan 28, 2021 - Jupyter Notebook
Homeworks for Statistical Learning course (Prof. Vinciotti) @ University of Trento
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Jul 7, 2023 - HTML
A Quarto Book that provides guidance for machine learning methods and advanced data visualiziation in R. For each method the theory behind it is explained and an example of usage in R is given.
visualization text-mining r statistical-learning regression classification supervised-machine-learning quarto tree-based-methods
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Dec 27, 2024 - R
Implementing Tree-based algorithms from scratch (Decision Tree, Random Forest, and Gradient Boosting) from scratch and comparing it to the scikit-learn implementation.
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May 4, 2024 - Jupyter Notebook
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