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17 search results found

Emotion Recognition Using Speech ⭐ 392

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Shapley ⭐ 198

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

Machine_learning_a Z ⭐ 130

Learning to create Machine Learning Algorithms

Parkinsons Detector ⭐ 28

Detect the onset of possible risk of Parkinson's disease with the help of clinical data using Machine Learning Models.

Cropcareai ⭐ 25

An AI-driven platform offering crop recommendations, fertilizer suggestions, and disease detection for optimal farming

Diabetes Prediction System ⭐ 21

Predict Diabetes and its possibility of occurrence from the pathological lab reports on your own.

Classification Py ⭐ 11

Machine learning library for classification tasks

Plasforest ⭐ 10

A random forest classifier to identify contigs of plasmid origin in contig and scaffold genomes

Dsu_insure_sp19_ids_prioritization ⭐ 10

IDS Alert Prioritization INSuRE Research Project

Cotas Genero Eleicoes E Proposicoes Legislativas ⭐ 8

Análise de dados sobre cotas de gênero e seu impacto nas eleições e proposições legislativas da Câmara dos Deputados Federais entre 1934 e 2021. Parte do TCC da pós-graduação em Inteligência Artificial e Aprendizado de Máquina na @pucminas

Uri Url Classification Using Recurrent Neural Network Svm And Randomforest ⭐ 7

URI-URL Classification using Recurrent Neural Network, Support Vector and RandomForest. The Implementation results follows with classification report, confusion matrix and precision_recall_fscore_support for each validation result of a 10-fold crossval

Machine Learning ⭐ 7

Assignments of Machine Learning Graduate Course - Spring 2021

Target Pred Py ⭐ 7

A simple machine learning model for small-molecule target prediction in Python.

All code related to the LoopMC paper

Twitter Sentimental Analysis ⭐ 6

I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, Extra Tree Regressor, Extra Tree Classifier, Decision Tree Classifier, Binary Logistic Regression and calculated accuracy score, confusion matrix and ROC(Receiver Operating Characteristic) and AUC(Area Under Curve) and finally shown how they are classifying the tweet in positive and negative.

Disaster Webapp ⭐ 6

The project consists of a Multi-Label Text Classifier project using a Random Forest Classifier with MultiOuputClassifier from Sklearn.

Gmailsorter ⭐ 6

Similarity based email sorting for Google Mail using RandomForest classifiers

Predict Which Customers A Call Center Should Contact ⭐ 5

Predict which customers should a call-center call for greater assertiveness in a sale

Machine Learning Signal Finder ⭐ 5

Technic analyzer with ML (RTF) and signal sender bot using telegram

Gameratingspredictor ⭐ 5

Quantitative Methods for Computer Science exam project. Machine learning algorithm solves multi-class classification problem of video games content rating (without playing it).

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