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GitHub topics: tree-based-methods

annalisaxamin/SL_homeworks

Homeworks for Statistical Learning course (Prof. Vinciotti) @ University of Trento

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KarimABOUSSELHAM/ISLP-applied-solutions

Solutions of applied exercises contained in "An Introduction to Statistical Learning with Applications in Python", by Tibshirani et al, edition 2023

Language: Jupyter Notebook - Size: 9.76 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 3

CN-TU/machine-learning-in-ebpf

This repository contains the code for the paper "A flow-based IDS using Machine Learning in eBPF", Contact: Maximilian Bachl

Language: C - Size: 542 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 95 - Forks: 6

LucasO21/seoul-bikeshare-prediction

A machine learning project, predicting hourly bike rentals in Seoul.

Language: R - Size: 5.52 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Alex-Mak-MCW/Deposit_Subcriptions_Predictions_Project

Group academic research project focuses on predicting term deposit subscriptions for bank clients through data science, data analytics, and machine learning.

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gabrieldeolaguibel/ML-Projects

A collection of various applied Machine Learning and Artificial Intelligence projects I have done.

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FilomKhash/Tree-based-paper

Codes for the paper On marginal feature attributions of tree-based models

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tohid-yousefi/Prediction_Diabetes_Using_Classification_Machine_Learning_Algorithms

In this section we will be predicting diabetes using classification machine-learning algorithms

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lakshyaag/ML-Tree-Based-Algorithms

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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yuvalofek/FrequentistML

Linear & logistic regression, model assessment and selection, and gradient boosted trees

Language: Jupyter Notebook - Size: 3.71 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

eiliaJafari/tree-based-customer-churn-rate

Tree methods for customer churn prediction. Creating a model to predict whether or not a customer will Churn .

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owenpb/Kaggle-Bike-Sharing-Prediction

Kaggle competition: predicting bikeshare demand with regression techniques. Linear/Lasso/Ridge Regression, KNN, Decision Tree, Random Forest, AdaBoost, XGBoost.

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owenpb/Kaggle-Forest-Cover-Prediction

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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aubin-tchoi/flappy_bird

Tree-based algorithms for solving a game of Flappy Bird.

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Marmingen/SML-lead-analysis

Analyzing the binary gender difference in lead roles using statistical machine learning

Language: Python - Size: 946 KB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 2

sliao7/CSE6740_Computational_Data_Analysis

All the course work of supervised and unsupervised algorithms and projects.

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SANTONLA/INTRODUCTION-TO-MACHINE-LEARNING-WITH-R

This is a repository with exercises extracted from the book "Introduction to machine learning with R" from Scott V. Burger. It will help you gain a solid foundation in machine learning principles. Using the R programming and then move into more advanced topics such as neural networks and tree-based methods.

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tugrulhkarabulut/Tree-Based-Methods

Implementation of Decision Tree and Ensemble Learning algorithms in Python with numpy

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Lindahe0707/Customer-Loyalty-Analysis-From-Purchasing-Behavior

This is a customer loyalty analysis based on historical purchase behavior in R language.

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abhiram-ds/telecom_churn_case_study

Telecom Churn analysis using various tree based classification models

Language: Jupyter Notebook - Size: 2.03 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

Related Keywords
tree-based-methods 20 machine-learning 9 classification 6 random-forest 6 python 5 gradient-boosting 4 regression 4 support-vector-machines 4 decision-trees 3 scikit-learn 3 xgboost 3 pandas 2 data-science 2 tree 2 kaggle-competition 2 classification-algorithm 2 logistic-regression 2 regression-models 2 optimization 2 adaboost 2 r 2 statistical-learning 2 clustering 2 deep-learning 2 churn-analysis 1 bike-sharing 1 churn-prediction 1 seaborn 1 churn-user-prediction 1 customer-churn 1 customer-churn-analysis 1 numpy 1 matplotlib 1 customer-churn-prediction-with-machine-learning 1 customer-churn-prediction 1 telecom-churn-prediction 1 telecom-churn-analysis 1 boosting-algorithms 1 customer-behavior-analysis 1 gradient-boosting-machine 1 neural-networks 1 kmeans 1 neural-network 1 dimension-reduction 1 statistical-machine-learning 1 knn 1 dnn 1 data-analysis 1 boosting 1 reinforcement-learning 1 heuristic-search-algorithms 1 multiclass-classification 1 forestry 1 random-forests 1 jupyter-notebook 1 tidyverse 1 tidymodeling 1 rstudio 1 cubist 1 linux 1 ebpf 1 survival-analysis 1 shrinkage-approaches 1 self-learning 1 resampling-methods 1 python-codes 1 multiple-testing 1 islp 1 exercise 1 applied-exercises 1 classification-methods 1 linear-regression 1 linear-models 1 feature-selection 1 cross-validation 1 optimization-algorithms 1 exploratory-data-analysis 1 data-visualization 1 data-cleaning 1 feature-attribution 1 unsupervised-machine-learning 1 supervised-learning 1 perceptron-learning-algorithm 1 nlp 1 llms 1 computer-vision 1 artificial-intelligence 1 tableau 1