TensorFlow template application for deep learning

用Python实现SVM多分类器

零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结

基于LibSVM实现的验证码识别，通过对验证码图片进行二值化、去噪、切割等处理后，对每个字符进行识别。识别过程采用LibSVM来实现。可用于识别网站登录的验证码。

Sparse learning in TensorFlow using data acquired from Spark.

Classify the MNIST data by LIBSVM in Python.

Synthesizes Judy mutation scores with Eclipse Metrics libsvm output to form categories of bug detection level of difficulty.

A project of my course "Introduction to Pattern Recognition". Realize Support Vector Machine (SVM) algorithm using PYTHON and libsvm.

Python script used to transform data to LibSVM format

This repository consists of implementation of some of the advanced algorithms in classification of dataset as well as training and testing of personalized dataset and decreasing the error.

Implement digit classification using LibSVM libarary.

Assignment for the "Machine Learning" course of the Department of Control Science and Engineering, Tongji University.

Classification tests using SVM.

Simple examples for applied machine learning an dialog systems

使用LIBSVM，在西瓜数据集3.0上分别使用线性核和高斯核训练一个SVM，并比较其支持向量的差别

SVM algorithm for handwritten digit classification

🔍 Predict customer churn using a synthetic dataset with advanced models and metrics to enhance business retention strategies and decision-making.