This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regression) and Machinery Fault Dataset dataset available on kaggle.

deep-neural-networks random-forest fast-fourier-transform ensemble-learning support-vector-machine anomaly-detection ensemble-classifier fault-detection induction-motor fault-diagnosis stacking-ensemble machinery-condition-monitoring logestic-regression stacking-classifier induction-motor-fault-detection machinery-fault-dataset

• Updated May 8, 2022
• Jupyter Notebook

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

• Updated Jan 12, 2024
• Jupyter Notebook

Predict customer purchase behavior from social media ads using machine learning classification models.

numpy pandas gradio svm-classifier machine-learning-project stacking-classifier

• Updated Feb 3, 2026
• Jupyter Notebook

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 voting-classifier stacking-classifier

• Updated May 23, 2025
• Jupyter Notebook

AS-DMF framework guide

tls lightweight malware python3 feature-selection wireshark zeek feature-reduction zat stacking-classifier encrypted-traffic-analysis

• Updated Aug 1, 2022
• Jupyter Notebook

A web application to predicted whether a URL/Website is phishing or not by extracting its lexical features.

python flask machine-learning random-forest scikit-learn pandas xgboost classification svm-classifier phishing-detection descision-tree stacking-classifier

• Updated Oct 6, 2022
• Jupyter Notebook

使用比赛方提供的脱敏数据，进行客户信贷流失预测。

machine-learning eda lightgbm ann xgboost-model stratified-sampling tabnet stacking-ensemble autogluon stratified-cross-validation smote-sampling smote-oversampler stacking-classifier

• Updated May 18, 2022
• Jupyter Notebook

This project is dedicated to accurately classify Alzheimer's disease into Demented, Non-demented and Converted Category.

python machine-learning tabular-data supervised-learning classification alzheimer-disease-prediction stacking-ensemble stacking-classifier

• Updated Jul 22, 2024
• Python

Android malware detection using machine learning.

python machine-learning random-forest machine-learning-algorithms feature-selection logistic-regression bayesian-inference support-vector-machines bayesian-optimization multicollinearity k-nearest-neighbours malware-detection voting-classifier shapley-values xgboost-classifier shap-values shapley-additive-explanations catboost-classifier stacking-classifier

• Updated Nov 23, 2022
• Jupyter Notebook

Classification Modeling: Probability of Default

python classification smote knn-classification random-forest-classifier credit-risk optuna logistic-regression-classifier xgboost-classifier catboost-encoding stacking-classifier

• Updated Jan 24, 2022
• Jupyter Notebook

Final Project Of Computational Intelligence - Fall 2021 - LightGBM, RandomForest and StackingClassifier

vggface lfw-dataset randomforestclassifier lightgbm-classifier stacking-classifier

• Updated Feb 4, 2022
• Jupyter Notebook

An end‑to‑end ML project to predict subscription to a term deposit based on a bank marketing campaign dataset. The repository demonstrates a complete workflow: data cleaning, feature engineering, hyperparameter optimization, ensemble modeling, and systematic experiment tracking.

machine-learning scikit-learn machine-learning-algorithms feature-selection classification data-preprocessing hyperparameter-tuning stacking classification-algorithims machine-learning-models classification-model roc-auc machine-learning-projects optuna stacking-ensemble stacking-classifier hyperparameter-tuning-in-pipeline hyperparameter-tuning-using-gridsearchcv

• Updated Oct 13, 2026
• Jupyter Notebook

An end-to-end machine learning pipeline for predicting telecom customer churn using Logistic Regression, Random Forest, XGBoost, Ensemble Methods (Voting + Stacking), and a Keras Neural Network, deployed as an interactive Streamlit web app.

neural-network random-forest xgboost logistic-regression voting-classifier streamlit stacking-classifier

• Updated Sep 26, 2026
• Jupyter Notebook

Analyzed time-series data (Depressjon) to detect depression from patient activity recorded via clinical actigraphy watches. Utilized features such as time domain, statistical metrics, and LSTM-extracted attributes.

lstm statistical-inference adaboost sleep-tracker svc time-series-analysis behavioural timedomain depression-detection featurefusion stacking-classifier votingcl latefusion

• Updated Sep 13, 2025
• Jupyter Notebook

This project aims to predict the selling prices of used cars based on various features such as brand, model year, mileage, and engine specifications.using-Stacking-ensemble-modeling-technique

data-science machine-learning linear-regression machine-learning-algorithms prediction data-visualization data-analysis preprocessing ensemble-machine-learning stacking-ensemble stacking-classifier

• Updated Feb 25, 2025
• R

This repository contain my final projekt on the Data science Skillbox school on the topic: "Development of a machine learning algorithm to predict the behavior of customers of the "SberAvtopodpiska"

python data-science machine-learning pipeline jupyter-notebook eda imbalanced-data catboost imblearn skillbox sber lgbmclassifier histgram-gradient-boosting stacking-classifier

• Updated Nov 17, 2022
• Jupyter Notebook

Prediction-of-House-Grade-Classification using python ( Jupyter Notebook)

data-science machine-learning-algorithms matplotlib classification-algorithm random-forest-classifier ada-boost-classifier stacking-classifier

• Updated Aug 9, 2023
• Jupyter Notebook

Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.

exploratory-data-analysis data-visualization xgboost data-processing hyperparameter-tuning gradient-boosting-classifier random-forest-classifier gridsearchcv adaboost-classifier stacking-classifier customer-profiling bagging-classifier

• Updated Sep 7, 2023
• Jupyter Notebook

A ML/DL project that predicts Poker Hand rankings based on given card combinations.

machine-learning deep-learning gradient-boosting-classifier poker-game random-forest-classifier mlp-classifier stacking-classifier

• Updated Aug 30, 2025
• Jupyter Notebook

This project focuses on predicting the likelihood of diabetes in individuals using ensemble machine learning models. It combines various ensemble techniques, including Random Forest, AdaBoost, Gradient Boosting, Bagging, Extra Trees, XGBoost, Voting Classifier and some others to get predictions.

python machine-learning xgboost ensemble-learning diabetes adaboost ensemble-model gradient-boosting voting-classifier ensemble-classifier catboost ensemble-machine-learning colab-notebook diabetes-prediction stacking-classifier

• Updated Sep 25, 2023
• Jupyter Notebook