AIBi Sai Xiang Guan Xin Xi Hui Zong
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Updated
Jan 26, 2023
AIBi Sai Xiang Guan Xin Xi Hui Zong
TextClf :Ji Yu Pytorch/SklearnDe Wen Ben Fen Lei Kuang Jia ,Bao Gua Luo Ji Hui Gui , SVM, TextCNN, TextRNN, TextRCNN, DRNN, DPCNN, BertDeng Duo Chong Mo Xing ,Tong Guo Jian Dan Pei Zhi Ji Ke Wan Cheng Shu Ju Chu Li , Mo Xing Xun Lian , Ce Shi Deng Guo Cheng .
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.
ML-powered news classifier: categorise articles via REST API. Built with scikit-learn, model comparison with VotingClassifier, and a REST API service for real-time predictions with Docker and Kubernetes deployment
This is ML project which is based on Classification of Credit Score
Wen Ben Fen Lei ,Ping Lun Fen Lei ,Po Su Bei Xie Si Duo Fen Lei ,Jiu Dian Ping Lun Fen Lei
Stat-gram is microservice tool for Business and Influencers on Instagram platform that uses AI to help with Marketing and Management.
Classification of MXenes into metals and non-metals based on physical properties
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.
Failure prediction for APU's on a Metro System Research project source code
Sentiment Analysis: approximating Word2Vec results with SPPMI-SVD
Heart Disease Analysis
Sentiment analysis of a Tweets dataset by using machine learning algorithm. Datascience Final Project Jan 2022
This project involves the implementation of efficient and effective LinearSVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
A jupyter notebook for analyzing and estimating with sklearn a multiclass classification problem for the Machine Learning (DD2421) course
In this repo, I am doing data analysis in water potability and check each and every classification model's accuracy.
Training a classifier to differentiate between positive and negative movie review sentences in the "sentence polarity dataset v1.0"
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