在这个项目中，我们对包含天体特征的数据集进行了分析，以使用随机森林分类器预测行星状态
In this project, we conducted an analysis of a dataset containing celestial body characteristics to predict planet statuses using a Random Forest classifier (2024-02-22, Jupyter Notebook, 0KB, 下载0次)
2023年秋季谢里夫理工大学计算机模拟课程项目。该项目是关于使用不同类型的队列（如FIFO&WRR（加权轮询））来模拟路由器的队列。
Project for Computer Simulation course in fall 2023 at Sharif University of Technology. The project is about simulating a router s queue with different kind of queue such as FIFO & WRR (Weighted Round Robin). (2024-01-27, Jupyter Notebook, 0KB, 下载0次)
该存储库包含使用树莓Pi和CNN分类器的自动电子部件识别系统的代码和资源。该系统旨在实时识别和分类电子部件，使其成为具有大量部件库存的车间或实验室的理想选择。
This repository contains the code and resources for an Automated Electronic Component Identification System using Raspberry Pi and CNN Classifier. The system is designed to identify and classify electronic components in real-time, making it ideal for workshops or labs with a large inventory of components. (2023-12-23, Jupyter Notebook, 0KB, 下载0次)
VLSI ML加速器课程：训练和验证CV和NLP应用的模型，通过应用多种低功耗技术将模型映射到设计的硬件架构，然后综合和评估FPGA的设计
VLSI ML accelerator course: train and validate models for CV and NLP applications, map model to designed hardware architecture by applying multiple low-power techniques, then synthesize and evaluate design for FPGA (2023-12-20, Jupyter Notebook, 0KB, 下载0次)
葡萄酒质量预测：在葡萄酒质量数据集上使用随机森林回归器预测葡萄酒质量。包括数据预处理、EDA...、...，
Wine Quality Prediction: Predict wine quality using a Random Forest regressor on the Wine Quality dataset. Includes data preprocessing, EDA, feature engineering, and model evaluation. Repository has Jupyter notebooks and Python scripts. (2023-10-14, Jupyter Notebook, 0KB, 下载0次)
该项目讨论了基于各种设备上的异质性活动识别器检测人类活动的能力，并预测了人类活动...，
This project discusses the ability to detect human activities based on the Heterogeneity Activity Recognizer on various devices and predicts what type of activity was done with the help of classification models. (2021-11-07, Jupyter Notebook, 0KB, 下载0次)
该项目讨论了基于各种设备上的异质性活动识别器检测人类活动的能力，并预测了人类活动...，
This project discusses the ability to detect human activities based on the Heterogeneity Activity Recogniser on various devices and predicts what type of activity was done with the help of classification models. (2021-11-07, Jupyter Notebook, 0KB, 下载0次)