说明：Iris-Flower-Classification,, stars:4, update:2024-04-26 20:43:39

说明：A Python interface to rusvm , stars:0, update:2024-04-19 10:15:20

说明：Liver Cirrhosis Prediction System using ML Algorithm , stars:0, update:2024-04-22 18:12:54

说明：We are going to use the different classification algorithms to create a model to predict rain in Australia. This project was done as a part of the Honors portion of the IBM Machine Learning Course on Coursera. , stars:0, update:2024-04-21 11:15:49

说明：LIBLINEAR bindings for Julia, stars:11, update:2024-04-18 23:29:11

说明：Predict heart disease presence using machine learning algorithms and the "Heart Disease UCI" dataset from Kaggle. Evaluate model performance to identify effective predictors for medical diagnosis. , stars:0, update:2024-04-18 12:52:42

说明：The system seamlessly integrates text and speech output for speech-impaired individuals, featuring continuous speech playback, reverse recognition for English alphabet input via speech, and multilingual conversion to Kannada and Hindi using the Google API, fostering smoother interaction and linguistic diversity.

说明：Modelled data on various machine learning models like Support Vector Machine, Logistic Regression, KN Neighbors, Decision Tree Classifier, Random Forest Algorithm and Naive Bayes Classifier to compare the accuracy metrics for each algorithm.

说明：Teaching computers to understand sign language! This project uses image processing to recognize hand signs, making technology more inclusive and accessible.

说明：Stock Price Prediction using LSTM Model is a project aimed at forecasting future stock prices based on historical data. Leveraging the power of LSTM, a type of recurrent neural network, this model can capture long-term dependencies in sequential data, making it suitable for time series forecasting tasks such as stock price prediction.

说明：Cardiovascular Disease Prediction from NHANES dataset, leveraged (dk what not) classifiers such as SVM, LR, RF, XGBoost, KNN, C5, BaggedCART, etc. Shiny UI for showcasing predictions

说明：重新检查：classifica o de comandos de voz（um，dois，trés）usando SVM（支持向量机）。

说明：实验solana-on-chain非晶生长

说明：通过我们的糖尿病研究项目，开始一段数据驱动的见解之旅。利用Python的panda、matplotlib和scikit learn，我们预处理、可视化和分析330个健康特征。利用逻辑回归、决策树、KNN和SVM，我们可以精确地预测糖尿病。

说明：机器学习的基础是端到端存储库，其中包括非常基本的机器学习模型和笔记本

说明：统计学习算法实现

说明：高光谱图像分类

说明：使用SVM模型自动记出勤，准确率高达80%

说明：革命性肾癌检测：利用人工智能预测肾细胞癌。

说明：超级视觉MacineLearning

说明：包含Nexus Info实习的第2阶段项目

说明：使用机器学习算法的高级糖尿病预测系统，精度得分训练数据为99，测试数据为91

说明：客户认购定期存款的银行营销预测。

说明：超参数调整前后不同模型检测信用卡欺诈的性能比较

说明：该项目专注于根据各种物理化学性质预测葡萄酒的质量。我们采用两种经典的机器学习算法，Logistic回归（LR）和支持向量机（SVM）来建立预测模型。

说明：太空船泰坦尼克号分类

说明：与我关于不同自动情感识别方法的学士论文相关的文件

说明：支持向量语言模型

说明：机器学习算法

说明：这是一个数据驱动的项目，用于预测猎鹰9号火箭着陆的成功，对航天工业的成本分析和竞争战略至关重要。涉及Pandas中的数据操作、JSON数据处理和使用Python的深入分析。