boosting-algorithm

There are 0 repository under boosting-algorithm topic.

miniboosts
rmitsuboshi / miniboosts
A collection of boosting algorithms written in Rust 🦀
boosting boosting-algorithm machine-learning adaboost rust adaboost-star corrective-erlpboost erlpboost lpboost smoothboost softboost totalboost gradient-boosting-machine gradient-boosting neural-network graph-separation-boosting
Language:Rust 26
sibirbil / RuleCovering
Rule covering for interpretation and boosting
decision-tree random-forest boosting-algorithm rule-based column-generation heuristic set-covering-problem linear-programming interpretability boosting
Language:HTML 16
basiralab / MV-LEAP
Multi-View LEArning-based data Proliferator (MV-LEAP) for boosting classification using highly imbalanced classes.
graph-augmentation multi-view-networks pca smote imbalanced-classes boosting-algorithm data-proliferator network-neuroscience brain-disorders computer-aided-diagnosis
Language:MATLAB 6
ekagra-ranjan / Optimal-Bidding
Inter IIT Techmeet 2017, IIT Madras - Data Science Competition
data-science market-price electricity-market interiit bid-price bidding data-science-challenges data-science-competition sklearn svm random-forest gradient-boosting-machine boosting-algorithm ensemble cross-validation feature-extraction feature-engineering feature-selection knn linear-regression
Language:Jupyter Notebook 5
markmacwan / Heart-Failure-Prediction
12 clinical features for predicting death events.
heart-failure prediction predictive-modeling smote smote-sampling boosting-algorithm bagging-trees ensemble-learning machine-learning classification
Language:Jupyter Notebook 2
ekagra-ranjan / Analyze-This-17
Analyze This' 17, American Express Data Science Competition ('Outstanding Performer')
data-science analyze-this data-science-challenges data-science-competition xgboost xgb-classifier corelib sklearn svm random-forest gradient-boosting-machine boosting-algorithm ensemble cross-validation feature-extraction feature-engineering american-express americanexpress credit-card feature-selection
Language:Jupyter Notebook 1
ekagra-ranjan / GS-Quantify-17
GS-Quantify' 17, Goldman Sachs Data Science Competition
data-science goldmann-sachs gs-quantify gsquantify data-science-challenges data-science-competition xgboost xgb-classifier sklearn gradient-boosting-machine boosting-algorithm ensemble cross-validation feature-extraction feature-engineering feature-selection linear-regression
Language:Jupyter Notebook 1
niketan108 / RF-and-GBDT-using-XGBOOST-on-amazon-food-dataset
Built Random Forest and GBDT using XGBOOST model on Amazon fine food review dataset
random-forest gbdt gradientboostinclassifier bagging bootstrap boosting boosting-algorithms boosting-tree boosting-algorithm xgboost xgboost-algorithm xgboost-model xgboost-python machine-learning machine-learning-algorithms amazonfinefoodreviews artificial-intelligence emsembling ensemble-model ensemble-classifier
Language:Jupyter Notebook 1
elbolt / acuLin-speech
Preprocessing and Boosting pipelines associated with neuroscientific research paper in revision.
eelbrain neuroscience speech multivariate-temporal-response-function boosting-algorithm cortex eeg-analysis machine-learning
Language:Python 0
Enr-MorenoSchz / ML-Burnout-Prediction-2023
[ Machine Learning ] 2nd Practice re-uploaded. Co-Author: @Devinchy
boosting-algorithm eda exploratory-data-analysis logistic-regression machine-learning machine-learning-algorithms machinelearning
Language:Jupyter Notebook 0
alfendio / Predictive-Analytics-Predicting-Diamond-Prices
Comparison K-Nearest Neighbor, Random Forest, and Boosting Algorithm for Predicting Diamond Prices
boosting-algorithm knn machine-learning predictive-analytics random-forest
Language:Jupyter Notebook
CeciliaYu0821 / Classification-Model-Comparison-and-Improvement
This project is about credit risk measurement for a bank. The project entailed a comprehensive analysis of client default tendencies relative to their backgrounds using advanced classification models, providing actionable insights by model comparison and refinement.
boosting-algorithm classification credit-risk decision-tree knn logistic-regression random-forest svm
Language:R
Pendulun / TicTacToeBoosting
This is a ADABoosting algorithm implementation for a TicTacToe dataset
adaboost boosting-algorithm python-3 tictactoe
Language:Jupyter Notebook
RIT-MESH / Master-Data-Mining-in-Data-Science-Machine-Learning
In this course, you will get advanced knowledge on Data Mining. This course begins by providing you the complete knowledge about the introduction of Data Mining. This course is a complete package for everyone wanting to pursue a career in data mining.
data-science datamining machine-learning survival-analysis clustering-analysis association-rule-learning tree-based-models boosting-algorithm model-explanationability
Language:Jupyter Notebook