tree-based-methods

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

scikit-learn kaggle-competition xgboost bike-sharing regression-models tree-based-methods

Updated Sep 10, 2023
Jupyter Notebook

lakshyaag / ML-Tree-Based-Algorithms

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Implementing Tree-based algorithms from scratch (Decision Tree, Random Forest, and Gradient Boosting) from scratch and comparing it to the scikit-learn implementation.

random-forest optimization decision-trees gradient-boosting tree-based-methods

Updated May 4, 2024
Jupyter Notebook

KarimABOUSSELHAM / ISLP-applied-solutions

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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

Updated Oct 30, 2023
Jupyter Notebook

LucasO21 / seoul-bikeshare-prediction

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

machine-learning random-forest rstudio tidyverse regression xgboost cubist tidymodeling tree-based-methods

Updated Jul 29, 2023
R

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

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

r regression-models customer-behavior-analysis tree-based-methods

Updated Sep 13, 2020
HTML

paulinealvarado / stanford-stat-learning

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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

Updated Oct 16, 2020
R

jasonmorkel / random_forests_exercise_ML

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Random Forests Tree-Based Model in Machine Learning (exercise using Iris data)

machine-learning random-forest prediction supervised-learning tree-based-methods

Updated May 24, 2021
Python

yuvalofek / FrequentistML

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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

Updated Sep 12, 2021
Jupyter Notebook

tugrulhkarabulut / Tree-Based-Methods

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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

Updated Oct 4, 2020
Jupyter Notebook

owenpb / Kaggle-Forest-Cover-Prediction

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Kaggle competition: predicting forest cover type with multiclass classification algorithms. Logistic Regression, SVC, KNN, Decision Tree, Random Forest, XGBoost, AdaBoost, LightGBM, & Extra Trees.

random-forest scikit-learn kaggle-competition forestry multiclass-classification tree-based-methods