GitHub topics: mlp-classifier | Ecosyste.ms: Repos

gnaservicesinc/libnoodlenet

A simple libary for c and libary for C++ to use models created with sensuser https://github.com/gnaservicesinc/sensuser in C and CPP projects.

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Zakstor15/cifar10-image-classifier

🧠 A deep learning project using TensorFlow to classify CIFAR-10 images with both Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN), including model training, evaluation, and prediction visualization

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harshineeshree/CreditCard_Fraud_Detection

Ml Model to Classify Credit Card Fraud Detection

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AritraAmbudhDutta/Speech-Emotion-Recognition-on-RAVDESS-Dataset

Speech Emotion Recognition system using CNN architecture to classify 8 emotions from audio recordings (RAVDESS dataset). Features depthwise separable convolutions for efficient audio analysis, reaching ~70% accuracy.

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MeoPBK/Fast_Inference_Classifiers

Multilable fast inference classifiers (Ridge Regression and MLP) for NLPs with Sentence Embedder, K-Fold, Bootstrap and Boosting. NOTE: since the MLP (fully connected NN) Classifier was too heavy to be loaded, you can just compile it with the script.

Language: Python - Size: 79.8 MB - Last synced at: 5 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

Rontim/Facial-Recognition-with-MLP---Olivetti-Faces

This project implements a facial recognition system using a Multi-Layer Perceptron (MLP) neural network on the Olivetti faces dataset, with an interactive Streamlit interface for exploration and visualization.

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monamahmoudm/Assessing-Neurological-States-from-Physiological-Signals

Addressing the Non-EEG Dataset for the Assessment of Neurological Status, in various different ways with the potential to classify these collected physiological signals into either one of the four neurological states: physical stress, cognitive stress, emotional stress and relaxation

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mahnoorsheikh16/NLP-Approach-to-AI-Text-Classification Fork of andrew-jxhn/STT811_StatsProject

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saamehsanaaee/WMAD-Montbretia_Cabinet-ISP

Working Memory Architecture and Demand model created by Montbretia Cabinet in NMA Computational Neuroscience course and Impact Scholars Program.

Language: Jupyter Notebook - Size: 152 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 2 - Forks: 0

Shreyas9699/Toxic-Comments-Classifier-cpp

The Toxic Comments Classifier is a robust machine learning tool implemented in C++ designed to identify toxic comments in digital conversations. Featuring a custom-built multi-layer perceptron (MLP) architecture with multiple layers and nodes, this project enhances the understanding of the learning processes involved in machine learning.

Language: C++ - Size: 171 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

Machine-Learning-Related-Projects/Real-Fake-Job-Post

Real-Fake-Job-Post

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Sufyanaliawan-dt/Multilayer-Perceptron-Model

Multilayer Perceptron Model for Projecting Crop Product Export Value Forecasting

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Kiripiro/multilayer-perceptron

This project is an introduction to artificial neural networks, with the implementation of a multilayer perceptron

Language: Python - Size: 2.07 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

pwernette/MLP_veg_seg

Python programs for filtering/segmenting vegetation from bare-Earth points in point clouds with RGB colour. This repo is supplementary to my AGU presentation in December 2021 and my manuscript published in Remote Sensing in June 2024.

Language: Jupyter Notebook - Size: 199 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 4 - Forks: 0

ahany42/neural-bird-classifier

Implementation of Single-Layer Perceptron (SLP) ,Multi-Layer Perceptron (MLP) and ADALINE for bird species classification. Includes data analysis, training/testing, visualization, and a GUI

Language: Python - Size: 179 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

havva-nur-ezginci/ML-Applications

💡This project involves the implementation of machine learning (ML) algorithms 💻🔍on various datasets.

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czarekmilek/Music-Genre-Classifier Fork of thammpiotr/Music-Genre-Classifier

Machine Learning project of a music genre classifier.

Language: Python - Size: 2.65 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

aniass/Product-Categorization-NLP

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 93 - Forks: 27

OrF8/CPP-Image-Processing

A repository for Ex 4 in course 67315 (Programming Workshop in C & C++) @ The Hebrew Universty of Jerusalem

Language: C++ - Size: 1.11 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

x4nth055/emotion-recognition-using-speech

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

Language: Python - Size: 944 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 621 - Forks: 242

MAvRK7/Malware-detection-using-MLmodels

This repo is about the cyber security project where malware is detected and classified

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MatheusADC/RailPredict

The project aims to create a modest web application that, integrated with an MLP neural network, performs predictive maintenance of locomotives.

Language: Python - Size: 23.4 KB - Last synced at: 23 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

jedrazb/python-neural-network

Simple implementation of MLP neural network in NumPy with supporting examples

Language: Python - Size: 10.8 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

coss-fz/basics-neural-networks

This repository is for a project that involves the construction of a basic neural network (MLP), and the performance comparison against the commonly used libraries (Py Torch and Tensorflow Keras)

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stefanosGerschKoutsogiannis/Computational-Intelligence-Assignments

Assignments for the Computational Intelligence course, Department of Computer Science and Engineering, University of Ioannina.

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sergio11/breast_cancer_diagnosis_mlp

🩺🔬 MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. 📊🤖

Language: Python - Size: 78.1 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

ManuelSerna/ml-notes

This repository contains some programs which helped me understand several topics in machine learning (e.g. regression, classification, resampling, trees, SVMs, clustering, neural nets, etc.).

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mayankmittal29/TensorTinker_Statistical_Methods_in_AI

This repository contains implementations of various machine learning algorithms from scratch, including Multi-Layer Perceptron (MLP), Gaussian Mixture Models (GMM), Principal Component Analysis (PCA), Autoencoders, and Variational Autoencoders.

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Arsalaan-Ahmad/Credit_default_Neural_network

This project compares the performance of MATLAB and Python in training a neural network to predict credit card defaults. Using a dataset of 30,000 customers with 24 features, we implemented a single hidden-layer MLP with varying hyperparameters (hidden layer sizes and learning rates).

Language: Python - Size: 3.07 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

queirozPedro/ClueSuspeitos

Estudando o funcionamento do Jogo Clue Suspeitos e implementando treinamento com MLP. Clue Card Game é um jogo de cartas, onde os jogadores passam por rodadas de perguntas e respostas em busca de descobrir o cenário do crime, composto por um suspeito, um lugar e uma arma.

Language: Python - Size: 290 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

VachanVY/NeuroForge

Unveiling the Layers: Neural Networks from first principles

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ShovalBenjer/Power_Transform_Box-Cox_Supervised_ML

This project explores machine learning techniques, focusing on data preprocessing, model building, and evaluation. It includes data analysis, visualization, various algorithms, and performance comparison. Key topics: data cleaning, feature engineering, model selection, hyperparameter tuning, and evaluation metrics.

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ansost/art-nat-HHU-semeval2024

Code for team art.-nat.'s submission to SemEval 2024 task 8 on multi-domain, multi-generator human vs. machine generated text classification.

Language: Python - Size: 36.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

NoahFeldt/ANN-From-Scratch

Implementation of a multi layer perceptron artificial neural network from scratch that is tested using the MNIST dataset.

Language: Python - Size: 380 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

shoaib1522/Artificial-Intelligence-

🚀 Dive into the world of Artificial Intelligence 🤖 with hands-on labs, algorithms, assignments, and resources 📚 – the ultimate AI learning repository! 💡✨

Language: Python - Size: 126 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

ThePhantom2307/MLP-Neural-Network

A class that implements an MLP neural network

Language: Python - Size: 131 KB - Last synced at: 29 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Matthew-Oj/Catchment-Vulnerability-Predictor-prev-SOPHIE-

This repo contains my final year dissertation, A Machine Learning Approach to Flash Flood Prediction in Southwest England along with the associated data. The study explores the relationship between the North Atlantic Oscillation, the Atlantic Multidecadal Oscillation climate indices, and topographical data in predicting flash floods.

Size: 1.44 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

albanecoiffe/MLP_Dataset_Forest_Cover_Type

Classification multi-classes en utilisant le MLPClassifier de scikit-learn sur le Forest Cover Type Dataset.

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Mayap2803/Supervised-Machine-Learning--Classification

Using supervised machine learning algorithms to classify signal from background particle events

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SenapeDev/MLP-IRIS-classification

Implementazione di un percettrone multistrato per classificare differenti specie di iris.

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hasanhammad/NLP-Final-Project

This repository contains code and dataset used in the final project of the NLP course in Iran University of Science and Technology

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terencelauu/fetus-classification-MLP

2-layer multilayer perceptron (MLP) for fetus classification.

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kkoukouletsou/Pattern-Recognition-and-Machine-Learning

Assignments for Pattern Recognition and Machine Learning Course at ECE AUTH.

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EPSOFT/MNIST-MLP

MNIST MLP

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FraLiturri/ML-Project

Repository for Monk solver and MLP NN for ML exam.

Language: C++ - Size: 30 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

shoaib1522/Data-Science-In-Python

"Unlock the power of data science with my curated collection of Python projects—your gateway to insights, analysis, and hands-on learning! 🌟"

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shoaib1522/Credit-Card-Fraud-Analysis

"A comprehensive project on Credit Card Fraud Detection combining Exploratory Data Analysis, Machine Learning, and an interactive Streamlit web app for real-world applicability."

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Pavansomisetty21/MNIST-Classification-using-Keras-MLP-Sequential-

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Bushra-Butt-17/DeepLearning-Projects

This repository contains my assignments and projects related to deep learning, including implementations of fundamental concepts such as Linear Regression, Gradient Descent, Multi-Layer Perceptron (MLP), and more. Each section includes code, explanations, and relevant documentation. The goal of this repository is to showcase my learning journey.

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ahmad-PH/auto_lcc

Automatic library of congress classification, using word embeddings from book titles and synopses.

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Namratha2301/IntrusionDetection

Intrustion Detection Models based on Internet Traffic Data obtained from the NSL-KDD Dataset

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mehtabhavin10/insurance_fraud_detection

:mag: | :chart_with_upwards_trend: | Life / Health Insurance Fraud Detection | :clipboard: | (Codeshahstra Round 1 Hackathon)

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anaritagomes/infant_cry_classifier

Deep Learning model combining Support Vector Machine (SVM) and Multi-Layer Perceptron (MLP) architectures to classify baby cries using audio data from the "Donate a Cry Corpus" dataset.

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GaneshAhire30/Employee-Performance-Analysis

BASED ON GIVEN FEATURE OF DATASET WE NEED TO PREDICT THE PERFOMANCE RATING OF EMPLOYEE

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SeyedMuhammadHosseinMousavi/Runtime-Optimization-of-Widrow-Haff-Classification-Algorithm-Using-Proper-Learning-Samples

Runtime Optimization of Widrow-Haff Classification Algorithm Using Proper Learning Samples

Size: 378 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

Sama-Amr/Assessing-Neurological-States-from-Physiological-Signals

Addressing the Non-EEG Dataset for the Assessment of Neurological Status, in various different ways with the potential to classify these collected physiological signals into either one of the four neurological states: physical stress, cognitive stress, emotional stress and relaxation

Language: Jupyter Notebook - Size: 1.69 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

bp0609/MLP-Performance-On-Different-Tasks

This repository focuses on evaluating the performance of Multilayer Perceptrons (MLPs) on various machine learning tasks and comparing them with alternative models. It includes implementations of MLPs with regularization, feature engineering techniques, and visualization tools like decision boundaries and t-SNE.

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erfan-mtzv/Instagram-Account-Gender-Detection-MLP-from-scratch

This repository contains Python code for a multi-layer perceptron (MLP) model, implemented from scratch, which predicts the gender of Instagram account holders using their account data.

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Vikktor93/ConvNet

This repository compares the performance of a Multilayer Perceptron (MLP) and a Convolutional Neural Network (CNN) in the task of binary classification of images of muffins and chihuahuas.

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Ibkdir/MNIST-from-scratch

A simple implementation of an MNIST Classifier without PyTorch, TensorFlow, etc

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SHUBHAMSHARMA0711/HandTalk-Translating-Sign-Language-to-Text

Group Project Completed in CSE343:Machine Learning course in IIITD during the Monsoon 2024 Semester. Professor: Jainendra Shukla

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acelyavul/traffic-sign-recognition

German Traffic Sign Recognition

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nirab25/Insurance-Claim-Fraud-Detection

Insurance claim fraud detection using machine learning algorithms.

Language: Jupyter Notebook - Size: 422 KB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 12 - Forks: 4

inteiros/LBP_ML

Local Binary Patterns descriptor with Support Vector Machine, Random Forest and Multi-layer Perceptron classifiers to predict COVID-19 in x-ray pictures

Language: Python - Size: 650 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

luca-parisi/m_arcsinh

m-arcsinh: A Reliable and Efficient Function for Supervised Machine Learning (scikit-learn, TensorFlow, and Keras) and Feature Extraction (scikit-learn)

Language: Python - Size: 52.7 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 4 - Forks: 1

8826Hank/Deep-Learning

MLP(Multilayer perceptron)

Language: Python - Size: 13.3 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

zahediparsa/ML_BirkarAcademy

Developed exercises and practical tasks to help students grasp key machine learning topics in a course hosted by Birkar Academy and ICDS.ai

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omarmuhamed/Malware-Detection-With-Performance-Counters

Malware detection using performance counters' data and deep learning time series classification methods. (POC)

Language: Python - Size: 36.4 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 2

phalconVee/telco-churn-ai-ml

Predictive models to analyse a telco firm's customer-level data, to identify customers at high risk of churn and identify the leading indicators.

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aiaaee/FashionMNIST

a dataset of Zalando's article images consisting of a training set of 60,000 examples and a test set of 10,000 examples.

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Temperedscarf9/neuralMNIST

neural netnetwork from scratch to recognize hand-written digits

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dsrub/DougNet

A lightweight, deep learning library written in pure Python

Language: Python - Size: 4.07 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

antonioualex/Tweet-Sentiment-Classifier-using-MLPs

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Srijan1972/COL215

Language: VHDL - Size: 13.2 MB - Last synced at: 8 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

vinaychutake/fmri_ml_sports_activity_recognition

Sports Activity Recognition using machine learning on fMRI data from Human Activity Dataset available at https://openneuro.org/datasets/ds004488/versions/1.1.1

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adistrim/TruthfulnessClassifier

An experimental machine learning project 🤖📖

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martinaturchini/HIV-1-cleavage-project

Supervised Machine Learning project for HIV-1 cleavege sites

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OmkarNarvekar001/ART_GENERATION_USING_SPEECH_EMOTIONS

Translation of speech to image directly without text is an interesting and useful topic due to the potential application in computer-aided design, human to computer interaction, creation of an art form, etc. So we have focused on developing Deep learning and GANs based model which will take speech as an input from the user, analyze the emotions associated with it and accordingly generate the artwork which has been demanded by the user which will in turn provide a personalized experience. The approach used here is convolutional VQGAN to learn a codebook of context-rich visual parts, whose composition is subsequently modeled with autoregressive transformer architecture. Concept of CLIP-Contrastive Language Image-Pre-Training, also uses transformers which is a model trained to determine which caption from a set of captions best fits with a given image is used in our project. The input speech is classified into 8 different emotions using MLP classifier trained of RAVDESS emotional speech audio dataset and this acts as a base filter for the VQGAN model. Text converted from speech plays an important role in producing the final output image using CLIP model. VQGAN+CLIP model together utilizes both emotions and text to generate a more personalized artwork.

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mariakoft/Classification_MLP_Shannon_Entropy_Cost_Function

A MLP Neural Network based on Shannon's Entropy of Error as a cost function , for classification.Implemented in Python

Language: Python - Size: 267 KB - Last synced at: 9 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1

GabrieleCarl/spam-detection

nlp project - email spam detection

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dsgiitr/VisualML

Interactive Visual Machine Learning Demos.

Language: CSS - Size: 70.1 MB - Last synced at: 27 days ago - Pushed at: about 2 years ago - Stars: 114 - Forks: 23

SatriaImawan12/Employee-Performance-Analysis-and-Prediction-System-Using-MLP-Classifier

Project Data Science and Data Analysis

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minhosong88/mlp-project-for-cencus-data-classification

This project contains a series of Multi-Layer Perceptron (MLP) models implemented from scratch, designed to explore different architectures and optimization strategies.

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duartebianca/sistemas-inteligentes

Project for the Intelligent Systems course (IF684 | CIn-UFPE), in collaboration with @yasmimvso, @RafaelB411, @eduarda09, and @daravas.

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MehdiJmlkh/Machine-Learning-Course-Project-S2024

Machine Learning course, Spring 2024, University of Tehran, Dr. M Tavassolipour and Dr. MRA Dehaqani

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minseok0809/MNIST-Multi-Layer-Perceptron-Classifier

Scikit-learn Multi Layer Perceptron Classifier with Image Classfication (MNIST)

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JoshuaAdebayo/Neural-Networks-in-the-NBA

This repository holds my final year Data Science Individual Project (dissertation). I experiment with Neural Networks and Multivariate Logistical Regression to assess if ML is capable of being used within the NBA draft

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subhanjandas/Artificial-Neural-Networks-for-Fraud-Detection-in-Supply-Chain-Analytics-MLPClassifier-and-Keras

In this study, we aimed to detect fraudulent activities in the supply chain through the use of neural networks. The study focused on building two machine learning models using the MLPClassifier algorithm from the scikit-learn library and a custom neural network using the Keras library in Python.

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