https://github.com/marcogdepinto/Emotion-Classification-Ravdess

Understanding emotions from audio files using neural networks and multiple datasets.

audio audio-processing classification-report datascience deep-learning deep-neural-networks emotion emotion-classification-ravdess keras keras-neural-networks librosa livingstone machine-learning python python3 ravdess-dataset song songs speech tensorflow

Last synced: 12 Mar 2025

https://github.com/marcogdepinto/emotion-classification-from-audio-files

Understanding emotions from audio files using neural networks and multiple datasets.

audio audio-processing classification-report datascience deep-learning deep-neural-networks emotion emotion-classification-ravdess keras keras-neural-networks librosa livingstone machine-learning python python3 ravdess-dataset song songs speech tensorflow

Last synced: 05 Apr 2025

https://github.com/thieu1995/permetrics

Artificial intelligence (AI, ML, DL) performance metrics implemented in Python

classification classification-report clustering-evaluation coefficient-of-determination deviation-of-runoff-volume evaluation-metrics kling-gupta-efficiency mae nash-sutcliffe-efficiency performance-metrics regression regression-methods relative-error rmse symmetric-mean-absolute-percentage willmott-index

Last synced: 07 Apr 2025

https://github.com/sushant1827/fashion-clothing-classification

Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images

adam-optimizer categorical-cross-entropy classification classification-report conv2d dropout keras keras-classification-models keras-neural-networks maxpooling model-evaluation reshaping splitting subplots

Last synced: 07 Mar 2026

https://github.com/sushant1827/Fashion-Clothing-Classification

Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images

adam-optimizer categorical-cross-entropy classification classification-report conv2d dropout keras keras-classification-models keras-neural-networks maxpooling model-evaluation reshaping splitting subplots

Last synced: 14 Oct 2025

https://github.com/maridda/nerval

Python framework to evaluate Named Entity Recognition (NER) models. Creates entity-level confusion matrix and classification report.

classification-report confusion-matrix deep-learning f1-score machine-learning named-entity-recognition natural-language-processing ner nlp precison-recall python sequence-labeling sequence-labeling-evaluation

Last synced: 22 Feb 2026

https://github.com/sushantdhumak/machine-learning-for-predictive-maintenance

Demonstrate the application of machine learning on a real-world predictive maintenance dataset, using measurements from actual industrial equipment.

binary-classification classification-report confusion-matrix data-imbalance data-visualization decision-tree-classifier exploratory-data-analysis feature-engineering feature-importance feature-selection gradient-boosting-classifier imbalanced-data multi-class-classification roc-auc-curve

Last synced: 26 Mar 2025

https://github.com/sushant1827/machine-learning-for-predictive-maintenance

Demonstrate the application of machine learning on a real-world predictive maintenance dataset, using measurements from actual industrial equipment.

binary-classification classification-report confusion-matrix data-imbalance data-visualization decision-tree-classifier exploratory-data-analysis feature-engineering feature-importance feature-selection gradient-boosting-classifier imbalanced-data multi-class-classification roc-auc-curve

Last synced: 12 Apr 2025

https://github.com/aaaastark/intrusion-detection-system-mqtt-enabled-iot

Intrusion Detection System for MQTT Enabled IoT.

artifical-neural-network binary-classification classification-report data-processing data-visualization deep-learning feature-extraction intrusion-detection-system keras-tensorflow mean-absolute-error mean-squared-error mqtt mqtt-protocol mqtt-server multi-class-classification r2-score root-mean-square-error sklearn

Last synced: 19 May 2026

https://github.com/nazanin1369/eignfaces

Faces recognition example using eigenfaces and SVMs

classification-report eigenfaces machine-learning pca

Last synced: 10 Jun 2026

https://github.com/ltw85/skflex

Flexible utility functions for use with the sklearn library

classification-report data-science evaluation evaluation-metrics functions machine-learning pca-analysis plots python roc roc-auc-curve sklearn utilities validation-curve

Last synced: 12 Apr 2026

https://github.com/harmanveer-2546/ad-click-prediction-analysis-and-insights

To predict whether a user will click on ad or not.

ads analysis classification-report click insights linearregression matplotlib numpy onehotencoder pandas pipeline prediction preprocessing randomforestclassifier seaborn sklearn sklearn-compose sklearn-library sklearn-metrics standardscaler

Last synced: 27 Jan 2026

https://github.com/hirudikaanupama/email-spam-detection-logistic-regression

This model can predict whether an email is spam or not. The logistic regression machine learning algorithm is used to train this model.

accuracy-score classification classification-report confusionmatrix data-visualization logistic-regression machine-learning roc-curve

Last synced: 11 Sep 2025

https://github.com/jeffreywijaya100/ecommerce-product-textmining

Pemodelan klasifikasi menggunakan data product dari sebuah ecommerce dengan ketentuan yang diberikan

classification-report count-vectorizer hyperparameter-tuning machine-learning nltk optuna random-forest-classifier svm-classifier text-mining text-representation tfidf-vectorizer

Last synced: 11 Jul 2025

https://github.com/aliakbar-omidi/brain-tumor-detection

This project focuses on detecting and classifying brain tumors (NonDemented, Very Mild Demented, Mild Demented, Moderate Demented)

accuracy-score classification-report cross-validation-score cv2 google-colab-drive hog logist matplotlib nump optuna pca ran seaborn stacking-classifier svc tqdm xgboost

Last synced: 05 Oct 2025

https://github.com/maheera421/heart-disease-diagnosis-model

A machine learning project designed to predict the likelihood of heart disease based on a set of health indicators.

accuracy-score classification-report confusion-matrix estimators exploratory-data-analysis f1-score feature-importance hyperparameter-tuning precision-score random-forest-classifier recall-score roc-curve sklearn train-valid-test visualization

Last synced: 20 Jan 2026

https://github.com/tonmoytalukder/churning-telecom-company-prediction

classification-report confusion-matrix decision-tree-classifier decision-trees grid-search-cross-validation one-hot-encoding roc-auc-curve

Last synced: 25 Oct 2025

https://github.com/aadrianleo/fashion-style-classifier

A machine learning and deep learning pipeline for fashion image classification. Combines real-world data, manual annotation, and both KNN and EfficientNet-B0 CNN models to classify images into style categories. Includes data cleaning, augmentation, model training, evaluation, and reproducible notebooks.

classification-report cnn computer-vision confusion-matrix data-augmentation data-preprocessing deep-learning efficientnet exploratory-data-analysis fashion-classification image-classification knn label-studio machine-learning model-evaluation pytorch real-world-data reproducible-research scikit-learn transfer-learning

Last synced: 11 May 2026

https://github.com/lingumd/credit_risk_analysis

Machine learning models for predicting credit risk in LendingClub dataset.

balancedrandomforestclassifier classification-report cluster-centroids-undersampling confusion-matrix easyensembleclassifier get-dummies google-colab imbalanced-learn machine-learning matplotlib-pyplot numpy pandas pathlib randomoversampler scikit-learn smote smoteenn

Last synced: 17 Apr 2026

https://github.com/anushkundu/churn-prediction

Telecom Customer Churn Prediction Using Machine Learning!

accuracy-score classification-algorithm classification-report data-analysis data-science deep-learning gradient-boosting-classifier keras-tensorflow logistic-regression machine-learning random-forest-classifier recall-precision roc-auc-score smote-sampling svm-classifier

Last synced: 21 Apr 2026

https://github.com/tasvora/machine-learning-challenge

Machine Learning - Exoplanet Exploration. used SVM, KNN, RandomForest Models.

accuracy classification-report machine-learning-algorithms random-forest svm-model tuning

Last synced: 05 Jun 2026

https://github.com/mehtadigisha/iris-flower-classification

Iris Flower Classification

accuracy-score classification-report data-analysis data-visualization eda iris-classification machine-learning matplotlib pandas prediction python scikit-learn seaborn svc-model svm-model visualization

Last synced: 03 May 2026

https://github.com/harmanveer-2546/student-performance-in-exam

Student performance analysis and prediction using datasets has become an essential component of modern education systems. With the increasing availability of data on student, schools and universities are using advanced analytics and machine learning algorithms to gain insights into student performance and predict future outcomes.

classification-report cluster dbscan dimensionality-reduction k-means-clustering labelling linear-regression logistic-regression numpy pandas pre-processing random-forest-classifier test-train-split unsupervised-machine-learning visualization

Last synced: 06 May 2026

https://github.com/saba-gul/-pycaret-streamline-your-machine-learning-workflow

PyCaret: Simplifying machine learning workflows with a low-code, open-source Python library.

auc classification-report iris-classification low-code machine-learning-algorithms pycaret pycaret-library

Last synced: 10 Jun 2026

https://github.com/venkat-0706/titanic-survival-prediction

A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.

classification-report confusion-matrix gridsearchcv matplotlib numpy onehot-encoder pandas sckit-learn seaborn train-test-split xgboost

Last synced: 09 May 2026

https://github.com/blleshi/credit_risk_classification

Credit Risk Classification

classification-report confusion-matrix credit-risk credit-risk-classification data-testing data-training imbalanced-learning lending loans logistic-regression logistic-regression-model pandas randomoversampler resampled-data target-classification

Last synced: 10 May 2026

https://github.com/chinmoyt03/deep-learning-based-diabetes-risk-analysis

Data Science Project: Comparing 3 Deep Learning Methods (CNN, LSTM, and Transfer Learning).

adam-optimizer classification-report cnn confusion-matrix convolutional-neural-networks deep-learning dropout keras-tensorflow long-short-term-memory minmaxscaler neural-network python relu roc-auc sigmoid softmax standard-error-of-the-mean transfer-learning

Last synced: 15 Apr 2026

https://github.com/vibhuti03/clicked-on-ad

Assignment on Logistic Regression

ads classification-report confusion-matrix jupyter-notebook logistic-regression matplotlib-pyplot pandas python3 seaborn sklearn

Last synced: 11 Apr 2026