mahine-learning

mikhail-vlasenko/grlib

Gesture recognition library for Python

sys-ris3/ML_Extraction_Sok

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice

AminAlam/Deep-Object

Joint Deep Neural Networks for Simultaneous Object and Depth Detection

Md-Emon-Hasan/Web-Scraping-Tutorial-using-Python-and-BeautifulSoup

A repository featurin BeautifulSoup for effective web scraping, enabling data extraction from diverse websites with practical examples and guides.

alexnaiman/OrpheussSorrow

Here is my Bachelor's Degree Thesis, Music and Feelings: A Deep Learning Approach to Emotional Composition

dgeorge1000/COVID-19-CNN-Image-Detection-from-Lung-X-Rays

This project aims to take an chest X-Ray image and detect if the patient has the COVID-19 infection. It uses a CNN to train on a large dataset of both normal and COVID lung images to learn how to process the difference in both images.

hadighorbani74/smartman2022

I'm a self-taught AI and Machine Learning developer, passionate about AI, Machine Learning, Computer Vision and learning new things. I have good experience working with the Python programming language and its libraries, and I am interested in computer vision and image processing using machine learning and deep learning algorithms.

haloapping/ml-workflow

Template alur kerja machine learning.

harshjoundal/Concrete_Compressive_Strength_Prediction

Compressive Strength of Concrete determines the quality of Concrete. analyze the Concrete Compressive Strength dataset and build a Machine Learning model to predict the quality.

ManipalInformationSecurityTeam/Phishing-URL-Detection-Workshop

MIST Machine Leaning in Cybersecurity Workshop Code Dump Repository

moh3enrafiei/imbalancedata

tkarim45/Email-Spam-Detection-End-to-End-Deployment

This repository contains an email spam detection system built using logistic regression, achieving an accuracy of 98%. The model was trained on a comprehensive dataset of labeled emails to effectively classify spam and non-spam messages.

waldohidalgo/desafioclase4inmersiondedatos

Resolución del desafío de la clase cuatro, última clase de la serie Inmersión de Datos de AluraLatam

AdarshRazor/Smart-Search-Engine

SSE is the basic model of Seach Engine or what people say "Google Search". The working of the model is based on Wikipedia content and the second part of the program use the words from content and use to learn and train the search for better understanding.

Anrsgrl/regressions

This project contains examples of Linear, Polynomial, and Logistic Regression models implemented using Python. Explore how different regression techniques can be applied to various datasets 🤖

Bharath-tars/streamlit_diabsynth

Predictive Health Analytics for Diabetic Risk Assessment and Personalized Reporting WebApp using Streamlit

BlackSound1/Machine-Learning-Sentiment-Analysis

Performs sentiment analysis on a given corpus of product reviews.

harshit433/Heart-stroke-prediction

This is a machine learning minor project for predicting heart stroke using the classification technique. The ML model correctly predicts a heart stroke with 95% accuracy.

mnokno/HandwrittenDigitRecognition

This project is about recognizing handwritten digits using custom architecture of Convolutional Neural Networks (CNN). The CNNs have been trained on a dataset of 1.5 million images, resulting in an impressive accuracy of 99.625% on Kaggle.

NeamulIslamFahim/Sentilytics

Welcome to Sentilytics – a React app for fast, easy sentiment analysis! Instantly detect emotions in text.

nsk126/transferlearning_shufflenet

A notebook to learn the use of CNNs and ShuffleNet

padthai-sketch/Credit-Risk-Evaluaion

Build and evaluate several machine-learning models to predict credit risk using free data from LendingClub.

prathmesh444/Image-Classification

This repo contains different models and technique used to classify image in MNIST, CIFSR-10, IRIS Datasets.

rejonehridoy/Emotion_Detection_from_Text_using_Machine_Learning

Text Classification using Machine Learning

ShophyTyagi/Customer-Segmentation

Performing customer segmentation using the clustering algorithm k-means.

shreya1m/House-Price-Prediction

This machine learning project predicts house prices based on diverse features, utilizing a dataset containing historical housing data. With organized directories for data, source code, and models, it provides a foundation for accurate predictions and future enhancements. 🏡📈

Ariyae/WordPredictionmodel

Word Prediction for augmentative communication using markov model hypothesis

codeasarjun/ClearFeelings

ClearFeelings uses logistic regression to analyze Twitter comments about airlines, revealing how people feel about different airlines based on their tweets.

imhemantchaubey-zz/numpy-resources

numpy resources

malleswarigelli/ML-Wafer_Fault_Detection-CI_CD_Circleci_Heroku

ML_binary classification application, docker image created by circleci_deployed to Heroku container

miguel-mb-cell/Dimensionalidade-de-Imagens

Desafio do Bootcamp da DIO: BairesDev - Machine Learning Practitioner

PrasanthDatascience/Knee-osteoarthritis-analysis-with-X-ray-images-using-Deep-convolutional-neural-network

Developed a cutting-edge deep learning model to accurately analyze knee osteoarthritis from X-ray images. Leveraged convolutional neural networks (CNN) to enhance diagnostic precision, aiding in early detection and effective treatment planning. This project showcases my expertise in medical image analysis and advanced neural network architectures.

sirilalithaadapa/machine-learning

Machine-Learning Based Projects

Vanessaaaaa0202/CarPricePrediction

This repository contains code and documentation for participating in the Kaggle competition: Used Car Price Prediction. The goal of the competition is to predict the price of used cars based on various attributes using machine learning models. The project is scored based on the Root Mean Squared Error (RMSE).