Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
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Updated
Nov 3, 2023 - Python
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Learning to create Machine Learning Algorithms
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
A machine learning project that predicts results of a football match
AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
ExeShield AI detects malicious Windows executables using ML. Analyzes entropy, imports, and metadata for rapid classification, aiding incident response. Built with Python and scikit-learn.
This is a Malware Detection ML model made using Random Forest Algorithm
A simple machine learning model for small-molecule target prediction in Python.
A web app for Flight Delay Prediction using Random Forest Classifier
Technic analyzer with ML (RTF) and signal sender bot using telegram
Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)
A random forest classifier to identify contigs of plasmid origin in contig and scaffold genomes
Similarity based email sorting for Google Mail using RandomForest classifiers
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
Implementation of various machine learning algorithms to predict the disease from symptoms.
Using Flower federated learning with scikit-learn random forest
This project leverages machine learning to predict liver disease using clinical data from the Indian Liver Patient Dataset. It combines exploratory data analysis (EDA), classification, and regression modeling to extract meaningful healthcare insights.
Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties
Machine learning library for classification tasks
Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning
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