sklearn-classify
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AI比赛相关信息汇总
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Jan 26, 2023
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。
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Jul 21, 2023 - Python
A C4.5 tree classifier based on a zhangchiyu10/pyC45 repository, refactored to be compatible with the scikit-learn library.
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May 26, 2019 - Python
Spam filtering module with Machine Learning using SVM (Support Vector Machines).
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Feb 27, 2021 - Python
Open source malware detection program using machine learning algorithms on system call traces.
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Jan 3, 2018 - Python
文本分类,评论分类,朴素贝叶斯多分类,酒店评论分类
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Sep 17, 2019 - Python
This is ML project which is based on Classification of Credit Score
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Apr 26, 2024 - Jupyter Notebook
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
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Nov 3, 2025 - Jupyter Notebook
Stat-gram is microservice tool for Business and Influencers on Instagram platform that uses AI to help with Marketing and Management.
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Jan 4, 2023 - Jupyter Notebook
Classification of MXenes into metals and non-metals based on physical properties
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Oct 19, 2020 - Jupyter Notebook
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.
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Sep 30, 2017 - Python
Cat vs Dog Classification using SVM and KNN Classifiers from the Sklearn Library
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Apr 10, 2020 - Jupyter Notebook
Failure prediction for APU’s on a Metro System Research project source code
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Nov 19, 2023 - Jupyter Notebook
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Nov 13, 2017 - Python
Sentiment Analysis: approximating Word2Vec results with SPPMI-SVD
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Oct 11, 2019 - Jupyter Notebook
Heart Disease Analysis
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Dec 17, 2022 - HTML
Sentiment analysis of a Tweets dataset by using machine learning algorithm. Datascience Final Project Jan 2022
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Sep 1, 2022 - Jupyter Notebook
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.
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Dec 24, 2017 - Jupyter Notebook
In this repo, I am doing data analysis in water potability and check each and every classification model's accuracy.
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Aug 5, 2021 - Jupyter Notebook
A jupyter notebook for analyzing and estimating with sklearn a multiclass classification problem for the Machine Learning (DD2421) course
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Oct 22, 2020 - Jupyter Notebook
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