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
Interactive Visual Machine Learning Demos.
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
Detects DDOS attacks using ML
This repository is MLP implementation of classifier on MNIST dataset with PyTorch
Classifying Audio to Emotion
This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.
Multilayer Perceptron Neural network for binary classification between two type of breast cancer ("benign" and "malignant" )using Wisconsin Breast Cancer Database
In this project we use RAVDESS Dataset to classify Speech Emotion using Multi Layer Perceptron Classifier
Machine Learning algorithms Implementation from Scratch
Ensemble PhoBERT with FastText Embedding to improve performance on Vietnamese Sentiment Analysis tasks.
This repository contains supervised fake news detection on LIAR dataset. Check out the analysis details for more details.
🔍 | 📈 | Life / Health Insurance Fraud Detection | 📋 | (Codeshahstra Round 1 Hackathon)
Micro neural network with multi-dimensional layers, multi-shaped data, fully or locally meshing, conv2D, unconv2D, Qlearning, ... for test!
Desktop App & Web App for Cricket Outcome Prediction.
Speech Emotion Recognition using MLP Classifier.
Insurance claim fraud detection using machine learning algorithms.
An easy guide for Color classification (RGB) using Multilayer Perceptron (MLP) Neural Networks with Arduino
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