IIIT-H提供的人工智能统计方法课程第一个作业的解决方案。该作业是关于KNN和决策树实现的。
Solutions for the first assignment of the course Statistical Methods in AI offered at IIIT-H. This assignment is on KNN and Decision Tree implementation. (2024-04-06, Jupyter Notebook, 0KB, 下载0次)
创建了一个Naive baye的文本分类模型，对垃圾邮件和火腿进行分类，准确率为97%。
Created a Naive baye s model for text classification that classifies the spam emails and ham with 97% accuracy. (2024-03-10, Jupyter Notebook, 0KB, 下载0次)
这是一个用python训练的人工智能模型，使用逻辑回归来预测给定的新闻是假的还是真实的。该模型在测试和训练数据集中的准确性都超过97%。
This is an AI model trained in python by using logistic regression to predict if the given news is fake or real. This model has accuracy of more than 97% in both Tested and Trained Dataset. (2024-03-02, Jupyter Notebook, 0KB, 下载0次)
使用多项式朴素贝叶斯算法实现了监督文本分类，总体准确率达到97%。部署了mo...
Implemented a Supervised Text Classification using Multinomial Naive Bayes algorithm achieved an overall accuracy of 97%. Deployed the model into a web application using flask and hosted it on Python Anywhere Platform. Website link - http://ashi2003.pythonanywhere.com/ (2023-11-17, Jupyter Notebook, 0KB, 下载0次)
所使用的监督机器学习技术是支持向量机，它帮助我们给出了97.11%的准确率。，
The supervised Machine learning Technique used is Support Vector Machine which help us give an accuracy of 97.11% ., (2023-10-15, Jupyter Notebook, 0KB, 下载0次)
使用Bert进行文档分类| 97%准确性，
Document Classification using Bert | 97 % accuracy, (2023-10-07, Jupyter Notebook, 0KB, 下载0次)
A1.支持向量机，，
A1.Support Vector Machines,, (2023-09-24, Jupyter Notebook, 0KB, 下载0次)
开发了一个机器学习模型，用于对垃圾邮件和合法（ham）电子邮件进行准确分类，有助于97%的检测...，
Developed a machine learning model for accurate classification of spam and legitimate (ham) emails, contributing to a 97 percent detection accuracy. Used maximum voting classifier for best results. (2023-08-27, Jupyter Notebook, 0KB, 下载0次)
随机森林具有最高的98%的精度，若采用相同的标记数，ROC_AUC曲线97%的模型可以得到更好的改进...
Random forest has highest accuracy 98% and ROC_AUC curve 97% model can be improve more if we take same count of labels in our model 30% is diabetic and 70% no diabetic patient (2023-01-19, Jupyter Notebook, 3807KB, 下载0次)
使用KNN算法从手写数字中检测数字的Python模型，精度高达97%
Python model which detects number from handwritten digits with upto 97% accuracy using KNN algorithm (2022-07-05, Jupyter Notebook, 13235KB, 下载0次)
机器学习技术可以显著提高癌症的诊断水平。研究表明，经验...
Machine Learning technique can dramatically improve the level of diagnosis in breast cancer. Research shows that experienced physicians can detect cancer by 79% accuracy, while a 91 %( sometimes up to 97%) accuracy can be achieved using Machine Learning techniques. (2019-07-15, Jupyter Notebook, 749KB, 下载0次)
在这个项目中，我们使用Chegg的两个数据集，使用三种机器学习方法开发了一个假新闻检测器...
In this project, we used two datasets from Chegg to developed a fake news detector using three machine learning methods: logistic regression, support vector machine and fully-connected neural networks.After a series of tuning and remodeling, we achieved the highest accuracy of 97% on the test set produced by the fully-connected neural network. (2019-05-06, Jupyter Notebook, 1600KB, 下载0次)
...划时代，并实现了97.38%的测试准确率，优于支持向量机等传统分类器...
Galaxy classification system helps astronomers with the method of grouping galaxies as per their visual form. The foremost notable being the Hubble sequence, which is considered one among the foremost used schemes in galaxy morphological classification. The Edwin Powell Hubble sequence was created by Hubble in 1926. In this project, Galaxy (2018-09-27, Jupyter Notebook, 7951KB, 下载0次)
本科生小组项目，我们使用TCN-CNN构建了一个心电图分类器，准确率为97%
Undergraduate group project in which we built an ECG classifier using a TCN- CNN with 97% accuracy (2021-10-02, Jupyter Notebook, 27553KB, 下载0次)