adaboost-algorithm

Here are 77 public repositories matching this topic...

Jack-Cherish / Machine-Learning

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

python machine-learning svm regression logistic python3 adaboost smo knn decision-tree navie-bayes-algorithm adaboost-algorithm

Updated Jul 12, 2024
Python

Mayurji / MLWithPytorch

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Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

machine-learning linear-regression machine-learning-algorithms python3 pytorch naive-bayes-classifier pca-analysis gaussian-mixture-models logistic-regression decision-trees ridge-regression naive-bayes-algorithm kmeans-clustering svm-classifier lasso-regression knn-classification pytorch-implementation tfidf-vectorizer adaboost-algorithm

Updated Dec 15, 2021
Python

nikitaprasad21 / ML-Cheat-Codes

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Machine Learning Cheatsheet 2024

python random-forest linear-regression xgboost logistic-regression tensors decision-trees ensemble-machine-learning adaboost-algorithm

Updated Oct 4, 2024
Jupyter Notebook

lesleyping / Machine-Learning

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Image classification using SVM, KNN, Bayes, Adaboost, Random Forest and CNN.Extracting features and reducting feature dimension using T-SNE, PCA, LDA.

machine-learning random-forest pca image-classification t-sne lda bayes-classifier svm-classifier fourier-features knn-classification cnn-classification sift-features adaboost-algorithm

Updated Aug 12, 2020
Python

ndtands / TabularDataProblem

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Classification in TabularDataset

machine-learning deep-learning transformer classification ensemble-learning gradientboosting catboost explainable-ai adaboost-algorithm ensem tabtransformer ft-transformer periodic-embeddings piecewise-linear-encoding

Updated Jan 26, 2023
Jupyter Notebook

matheastevens / Ecommerce-Sales-Analysis

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Customer Lifetime Value, Returns Predictions, Recommender system and sales analysis on UC Irvine online sales dataset.

machine-learning-algorithms recommender-system customer-lifetime-value adaboost-algorithm

Updated Mar 23, 2021
Jupyter Notebook

obynio / adaboost

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A parallelised facial recognition program written from scratch in C with minimal dependencies

adaboost haar-cascade facial-detection haar-classifiers adaboost-algorithm

Updated Jul 25, 2021
C

paocarvajal1912 / VIXM-Algorithmic-Strategy

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An algorithmic trading strategy incursion using Adaboost machine learning classifier, to create the first volatility security suitable for long term investors.

python machine-learning jupyterlab adaboost jupyter-notebooks modular-design supervised-machine-learning vix algoritmic-trading adaboost-algorithm adaboostclassifier volatility-investing

Updated Oct 2, 2024
Jupyter Notebook

luuisotorres / Credit-Card-Fraud-Detection

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For this project, I used four different classification algorithms to detect fraudulent credit card transactions.

python data-science machine-learning scikit-learn sklearn machine-learning-algorithms pandas data-visualization feature-engineering decision-tree-classifier gradient-boosting-classifier classification-algorithm gradientboostinclassifier random-forest-classifier ada-boost-classifier classification-model credit-card-fraud-detection adaboost-algorithm adaboostclassifier

Updated Jun 24, 2022
Jupyter Notebook

amindadgar / Machine-Learning

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The homeworks related to Machine Learning university course would be saved here.

machine-learning deep-neural-networks deep-learning tensorflow machine-learning-algorithms statistical-learning pca lda decision-tree knn-classification baysian-network adaboost-algorithm

Updated Jul 7, 2022
Jupyter Notebook

Automobile dataset for used Car Price Analysis to predict the price of a vehicle with their features and performance factor to provide the exact value of a vehicle for buyer seller satisfaction using exploratory data analysis and machine learning models.

python linear-regression exploratory-data-analysis machine-learning-algorithms ridge-regression grid-search lasso-regression automobile random-forest-regression adaboost-algorithm lightgbm-regressor

Updated Jun 6, 2020
Jupyter Notebook

kpratikin / Credit-Card-Fraud

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Identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. (Python, Logistic Regression Classifier, Unbalanced dataset).

boost cross-validation xgboost normalization smote fraud-detection oversampling undersampling ensemble-machine-learning unbalanced-data adaboost-algorithm

Updated Oct 14, 2019
Jupyter Notebook

sanchitsgupta / decision-tree-algorithms

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Some decision tree algorithms implemented in C++

machine-learning random-forest machine-learning-algorithms id3 adaboost id3-algorithm random-forest-classifier adaboost-algorithm

Updated Mar 29, 2022
C++

RickFSA / Lending_Club_Default_Prediction

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Classify default borrowers from initial loan application for Lending Club

xgboost-algorithm random-forest-classifier unbalanced-data adaboost-algorithm qlattice

Updated Mar 2, 2021
Jupyter Notebook

stanleyowomero / Employee-Absenteeism

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Employee-Absenteeism-Project-Work

random-forest logistic-regression standardization adaboost guassian knn-classifier svc-svm adaboost-algorithm

Updated Jun 26, 2020
Jupyter Notebook

nischaybikramthapa / predicting-hospital-los

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Can we predict how long a patient will be in a hospital with a fair comparison on gender, race and health service areas?

random-forest logistic-regression decision-trees predictive-modeling binaryclassification adaboost-algorithm length-of-stay fair-ml

Updated Jun 16, 2021
Jupyter Notebook

tkhan11 / Dtreehub

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Dtreehub is a lightweight decision tree framework for Python with categorical feature support. It covers regular decision tree algorithms: ID3, C4.5, CART, CHAID and regression tree, random forest and adaboost.

classifier random-forest id3 cart decision-trees chaid regression-trees adaboost-algorithm