AI比赛相关信息汇总
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Updated
Jan 26, 2023
AI比赛相关信息汇总
TextClf :基于Pytorch/Sklearn的文本分类框架,包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型,通过简单配置即可完成数据处理、模型训练、测试等过程。
A C4.5 tree classifier based on a zhangchiyu10/pyC45 repository, refactored to be compatible with the scikit-learn library.
Spam filtering module with Machine Learning using SVM (Support Vector Machines).
Open source malware detection program using machine learning algorithms on system call traces.
Classify news articles into different categories using Machine Learning
Stat-gram is microservice tool for Business and Influencers on Instagram platform that uses AI to help with Marketing and Management.
文本分类,评论分类,朴素贝叶斯多分类,酒店评论分类
Udacity project#1 machine Learning DevOps Engineer Nano degree
In this repo, I am doing data analysis in water potability and check each and every classification model's accuracy.
The code uses the scikit-learn machine learning library to train a decision tree on a small dataset of body metrics (height, width, and shoe size) labeled male or female. Then we can predict the gender of someone given a novel set of body metrics.
Training a classifier to differentiate between positive and negative movie review sentences in the "sentence polarity dataset v1.0"
Assignment & notes from CS677-Data Science with Python. Use stock prices and features (average daily return and volatility) as the required dataset and apply many basic classifier models and algorithms of data science in analysis.
Aim was to classify the provided data with different classifiers and compare their performance. 17 different classifiers were employed and their results are documented in a Jupyter notebook
Use positive and negative sentiment words dictionaries to predict sentiment
Classification of MXenes into metals and non-metals based on physical properties
This repo is about Machine Learning and Classification
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