voting-classifier

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

machine-learning-algorithms predictive-analytics voting-classifier customer-segmentation customer-analytics e-commerce-example

UpdatedApr 5, 2018
Jupyter Notebook

Architectshwet /Loan-prediction-using-Machine-Learning-and-Python

Star48

To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib

machine-learning scikit-learn pandas seaborn xgboost matplotlib grid-search voting-classifier

UpdatedMay 26, 2018
Jupyter Notebook

RoccoJay /Audio_to_Emotion

Star28

Classifying Audio to Emotion

audio python speech emotion xgboost song emotion-recognition voting-classifier mlp-classifier speech-emotion-recognition lgbm ravdess optuna

UpdatedDec 14, 2019
Jupyter Notebook

Hashehri /Network-Traffic-Classification-UNSW-NB15

Star26

Binary Classification for detecting intrusion network attacks. In order, to emphasize how a network packet with certain features may have the potentials to become a serious threat to the network.

machine-learning ai deep-learning random-forest sklearn python3 logistic-regression pickle network-analysis network-security classification-algorithims knn-classification voting-classifier xgboost-algorithm stacking-ensemble decsion-tree

UpdatedDec 19, 2021
Jupyter Notebook

thefirebanks /Ensemble-Learning-for-Tweet-Classification-of-Hate-Speech-and-Offensive-Language

Star23

Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting

python tweets neural-network text-classification tensorflow sklearn lexicon classification ensemble-learning logistic-regression lstm-neural-networks hatespeech tweet-classifier voting-classifier offensive-language sgd-classifier

UpdatedMay 8, 2018
Python

xndien2004 /Multimodal-Sarcasm-Detection-for-UITC2024

Star21

The Multimodal Sarcasm Detection System detects sarcasm in multimedia content using image-caption generation and NLP. It achieved 1st place in UITC2024 by classifying sarcasm into four categories: image, text, multi sarcasm, and not sarcasm.

deep-learning tensorflow torch transformer voting-classifier multimodal

UpdatedMar 21, 2025
Jupyter Notebook

RimTouny /Phishing-Attack-Detection-using-Machine-Learning

Star16

Advancing Cybersecurity with AI: This project fortifies phishing defense using cutting-edge models, trained on a diverse dataset of 737,000 URLs. It was the final project for the AI for Cybersecurity course in my Master's at uOttawa in 2023.

machine-learning eda feature-selection feature-extraction cybersecurity phishing-attacks smote oversampling f1-score lazy-classifier voting-classifier phishing-detection phishing-urls true-positive-rate true-negative-rate stacking-classifier

UpdatedJan 12, 2024
Jupyter Notebook

alifrmf /Mobile-Price-Prediction-Classification-Analysis

Star15

Supervised Machine Learning Analysis Using Classification Models

python data-science random-forest svm exploratory-data-analysis machine-learning-algorithms supervised-learning xgboost hyperparameter-optimization classification ensemble-learning adaboost preprocessing decision-trees gradient-boosting voting-classifier mobile-price-prediction bagging-ensemble boosting-ensemble pruning-optimization

UpdatedJul 10, 2023
Jupyter Notebook

raj1603chdry /Fake-News-Detection-System

Star13

Fake News Detection System for detecting whether news is fake or not. The model is trained using "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. Link for dataset:https://arxiv.org/abs/1705.00648.

machine-learning pipeline random-forest scikit-learn pattern-library word-cloud nltk naive-bayes-classifier logistic-regression data-preprocessing fake-news pos-tagging svm-classifier count-vectorizer custom-transformer voting-classifier gridsearchcv tfidf-vectorizer

UpdatedJan 24, 2020
Jupyter Notebook

imharshag /NIDS-using-ML

Star10

This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats

python random-forest svm sklearn xgboost ensemble-learning matplotlib knn principal-component-analysis datamining network-intrusion-detection voting-classifier nsl-kdd recursive-feature-elimination label-encoding gaussian-naive-bayes one-hot-encoding

UpdatedDec 10, 2024

sharmaroshan /Titanic-Passenger-Survival-Prediction

Star9

Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami.

data-science machine-learning cross-validation data-visualization feature-selection classification data-analysis modelling feature-engineering data-cleaning evaluation-metrics boosting voting-classifier

UpdatedOct 2, 2020
Jupyter Notebook

bagheri365 /ML-Models-for-Classification

Star8

Tour of Machine Learning Algorithms for Binary/Multiclass Classification

random-forest svm naive-bayes logistic-regression multi-layer-perceptron decision-tree binary-classification k-nn quadratic-discriminant-analysis multiclass-classification voting-classifier linear-svm rbf-svm

UpdatedSep 16, 2019
Jupyter Notebook

ilaydaDuratnir /python-ensemble-learning

Star8

In this project, the success results obtained from SVM, KNN and Decision Tree Classifier algorithms using the data we have created and the results obtained from the ensemble learning methods Random Forest Classifier, AdaBoost and Voting were compared.

python machine-learning ensemble-learning machinelearning adaboost voting-classifier ensemble-classifier random-forest-classifier

UpdatedFeb 27, 2021
Python

Spidy104 /PPG_DIABETES_CLASSIFICATION

Star7

This repository provides a complete pipeline for non-invasive blood glucose estimation using Photoplethysmography (PPG) signals. It includes data preprocessing, feature extraction, machine learning model training, and result visualization to support research and development in biomedical signal analysis and diabetes screening.

signal-processing svm ml rfid voting-classifier stacking-classifier