说明：Kali Linux sanal makinesi kullanarak DDoS sald?r?lar?n?n simülasyonunu ger?ekle?tirip, olu?turulan veri seti üzerinde makine ??renme algoritmalar? ile sald?r? tespiti ve normal trafikten ay?rma.

说明：Prediction of loan status based on training ML models on historical data and predict status, complete with thorough Data Visualization and Exploratory Data analysis , stars:0, update:2024-05-23 13:38:12

说明：This code loads network data, preprocesses it, reduces dimensions with an autoencoder, and trains multiple classifiers (KNN, RF, LR, SVM) for anomaly detection. , stars:0, update:2024-05-23 21:34:06

说明：Towards evaluation of fairness in MDD models: Automatic analysis of symptom differences for gender groups in the D-vlog dataset, stars:0, update:2024-05-20 18:42:18

说明：Sentiment Classification with Bagging and SVM, stars:0, update:2024-05-20 03:49:47

说明：Projekt u sklopu predmeta Analiza slika u biomedicini, stars:0, update:2024-05-19 07:38:25

说明：This project provides the classification of DNA sequences for Breast cancer prediction which into promoter regions associated. Using machine learning and deep learning techniques, I analyze and try to predict sequence data for negative and positive answers in cancer prediction. , stars:0, update:2024-05-17 14:21:59

说明：Explore NLP model evaluation on answer scores and tweet sentiment. Features preprocessing, BoW, TF-IDF, Word2Vec, and models like Linear Regression, Decision Tree, SVM, Logistic Regression, and Random Forest.

说明：A Streamlit webapp that predicts diabetes based on patient data. , stars:0, update:2024-05-19 09:26:43

说明：This repository contains a Jupyter notebook that implements and optimizes several machine learning models on a dataset , stars:0, update:2024-05-15 16:27:01

说明：Predict the number of dengue fever cases reported weekly in San Juan, Puerto Rico, and Iquitos, Peru, using environmental data to aid in public health initiatives. , stars:0, update:2024-05-15 19:47:42

说明：Heart Disease Prediction by Python , stars:0, update:2024-05-16 10:54:29

说明：? Developed a Machine Learning Model, OHMEE, for recognizing and solving offline handwritten mathematical expressions (OHME), utilizing image data from documents, images, papers, and transcripts. ? Developed user-defined mathematical methods to evaluate the solved string expressions, generating and plotting appropriate results.

说明：Hyperparameter Optimization for Pima Indians Diabetes Machine Learning Classification using Optuna in Python., stars:1, update:2024-05-13 15:29:23

说明：These are all of my machine learning codes.You can find every code about machine learning. , stars:0, update:2024-05-12 09:24:47

说明：The Heart Disease Predictor is a Python project developed to classify whether an individual has heart disease based on specific input parameters. It utilizes the scikit-learn and NumPy libraries for implementation.

说明：This project showcases a dataset of Amazon Reviews in Hindi, which we created ourselves. We applied various machine learning methods including Naive Bayes, SVM, and Decision Tree, using both Bag-of-Words and TF-IDF. Additionally, we experimented with deep learning techniques such as Feedforward Neural Networks and LSTM with ELMO embeddings.

说明：This repo contains meteo-data-mining , stars:0, update:2024-05-10 19:07:38

说明：Streamlined Solana Virtual Machine Integration for High-Performance rollups., stars:1, update:2024-05-06 14:11:42

说明：Applicazione dei concetti e dei metodi appresi durante il corso di Fondamenti di Scienza dei Dati. Con particolare attenzione all'analisi e alla classificazione del famoso dataset Iris. , stars:0, update:2024-05-08 16:21:33

说明：The project of implementing different deep learning models on doing machine-generated text detection and even the mixed human-machine text detection

说明：Python-GUI and ML based codes used to predict BBC News Category, IMDb review sentiments, Rotten Tomatoes Movies Review sentiments, Bigmart sales prediction, Loan Approval for a person and Height calculation with user input weight.

说明：This project aims to detect bone fractures using machine learning and neural networks. It utilizes various machine learning models including AdaBoost, CatBoost, Logistic Regression, Random Forest, Support Vector Machine (SVM), XGBoost, Gradient Boosting, and LightGBM and and neural networks.

说明：Iris-Flower-Classification,, stars:4, update:2024-04-26 20:43:39

说明：A Python interface to rusvm , stars:0, update:2024-04-19 10:15:20

说明：Liver Cirrhosis Prediction System using ML Algorithm , stars:0, update:2024-04-22 18:12:54

说明：We are going to use the different classification algorithms to create a model to predict rain in Australia. This project was done as a part of the Honors portion of the IBM Machine Learning Course on Coursera. , stars:0, update:2024-04-21 11:15:49

说明：LIBLINEAR bindings for Julia, stars:11, update:2024-04-18 23:29:11

说明：Predict heart disease presence using machine learning algorithms and the "Heart Disease UCI" dataset from Kaggle. Evaluate model performance to identify effective predictors for medical diagnosis. , stars:0, update:2024-04-18 12:52:42

说明：The system seamlessly integrates text and speech output for speech-impaired individuals, featuring continuous speech playback, reverse recognition for English alphabet input via speech, and multilingual conversion to Kannada and Hindi using the Google API, fostering smoother interaction and linguistic diversity.