#Svm
Showing 60 of 63 repositories tagged #svm, ranked by stars
100 Days of ML Coding
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Code for Tensorflow Machine Learning Cookbook
The Operator Splitting QP Solver
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Curso de Introducción a Machine Learning con Python
Java Statistical Analysis Tool, a Java library for Machine Learning
Machine Learning library for the web and Node.
Compendium of free ML reading resources
Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）
Regression, Scrapers, and Visualization
Simple machine learning library / 簡單易用的機器學習套件
Classification of Breast Cancer diagnosis Using Support Vector Machines
Quick start: pip install jsoniq ⛈️ RumbleDB 2.1.0 "Cedrus Libani" 🌳 for Apache Spark | Run queries on your large-scale, messy datasets (JSON, text, CSV, Parquet, Delta...) | Data Lakehouse with Updates, Scripting, Declarative Machine Learning and more
30 Semi-Supervised Learning Algorithms
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Identify faces from video and images using OpenCV and Deep Learning
ML-algorithms from scratch using Python. Classic Machine Learning course.
Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics and Machine-Learning, Artificial Intelligence (AI), Financial Engineering, Optimization, Stochastic Modelling, Time-Series forecasting, Science in general... and more.
Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
Implementation of Accurate Online Support Vector Regression in Python.
新闻分类系统&谣言处理系统
本项目以应用为主出发，结合了从基础的机器学习、深度学习到目标检测以及目前最新的大模型，采用目前成熟的 第三方库、开源预训练模型以及相关论文的最新技术，目的是记录学习的过程同时也进行分享以供更多人可以直接进行使用。
🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)
Detects Pedestrians in images using HOG as a feature extractor and SVM for classification
Analisis sentimen teks bahasa Indonesia dengan Support Vector Machine (SVM): Perbandingan Leksikon dan Metode Ekstraksi Fitur
This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.
Detect eye blinks based on eye aspect ratio (EAR) introduced by Soukupová and Čech in their 2016 paper, Real-Time Eye Blink Detection Using Facial Landmarks.
ML From Scratch
All things SVM (Solana Virtual Machine)
High-performance, Composable framework for Fully On Chain Games and Autonomous Worlds
Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.
Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking
Program to perform vulnerability analysis and automatically generate a report
A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.
An operational toolchain for SVM-based blockchain networks
Off-chain SVM payment channel.
This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"
Caltech Machine Learning course notes and homework. Implements from scratch algorithms like SVM, neural networks, backpropagation, perceptrons and other linear classifiers.
iris数据集的基本数据分析方法，包括KNN,LG,NB,SVM算法。
Foundational library for Kernel methods in pattern analysis and machine learning
Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extraction, feature selection. CNN-based and extensive machine learning techniques were then applied for fault detection.
A machine learning approach to detection of Parkinson's disease.
An interactive Machine Learning-powered web application that predicts whether a person is diabetic based on key health parameters. Built with Python, Scikit-learn, and Streamlit, this app aims to make early diabetes risk detection simple and accessible.
Bitcoin price prediction using both traditonal machine learning and deep learning techniques, based on historical price and sentiment extracted from Twitter posts. Fear of missing out analysis after Elon Musk tweeted about Dogecoin.
Comparative Analysis of Techniques for Forecasting Time Series in Financial Markets
Hyperspectral CNN compression and band selection
My lecture notes and assignment solutions for the Coursera machine learning class taught by Andrew Ng.
Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.
EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)
Lung Cancer Prediction using Machine Learning Algorithms
A practice project for machine learning and stop price prediction
𝗙𝗶𝗿𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻🔥using Machine Learning Algorithm with python🐍, GoogleColab & database taken from 𝗨𝗖𝗜 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆
Rust Solana Wallet - BIP39 Crypto Wallet
A versatile and powerful framework for creating customized rollups with a variety of options. Our framework supports EVM, SVM, and CosmWasm-based rollups
lessvm
iThome 13th-ironman (2021) - Data Science Learning Roadmap about Python