这是一个受@启发的存储库。我使用数据库是为了学习使用python及其工具进行数据准备；熊猫、小熊猫、斯科林猫、海产猫和马特利布猫。
This is repository is inspired by @. I am using a database in order to learn data preparation with python and its tools; Pandas, numpy, sklean, seaborn and matplotlib. (2024-02-12, Jupyter Notebook, 0KB, 下载0次)
该项目的目标是使用深度学习回归模型预测0至3分的路面质量分数，其中0分用于未磨损的道路，3分用于严重磨损的道路。使用加利福尼亚州湾区周围路面的实时视频和KITTI图像数据集进行训练和测试。Bokeh和Google Maps API用于可视化...
The goal of this project was to predict road surface quality score on scale of 0 to 3 with 0 for unworn roads up to 3 for heavily worn-out roads using deep learning regression models. Real time videos of the road surface around Bay Area, CA and KITTI image dataset was used for training and testing. Bokeh and Google Maps API was used for (2018-06-18, Jupyter Notebook, 20519KB, 下载0次)
分析Zomato数据集的基本思想是公平地了解影响每家餐厅总评级的因素，以及在不同地方建立不同类型的餐厅。班加罗尔就是这样一个城市，拥有12000多家餐厅，餐厅供应来自世界各地的菜肴。
The basic idea of analyzing the Zomato dataset is to get a fair idea about the
factors affecting the aggregate rating of each restaurant, establishment of
different types of restaurant at different places, Bengaluru being one such
city has more than 12,000 restaurants with restaurants serving dishes from all
over the world.
, (2022-06-26, Jupyter Notebook, 491KB, 下载0次)
该存储库涉及一系列操作，包括数据清理、规范化、缩放、特征选择和降维，以将数据转换为一种干净、有组织的格式，适合使用python中的panda和numpy库分析大数据。
This repository involves a series of operations, including data cleaning,
normalization, scaling, feature selection, and dimensionality reduction, to
transform the data into a clean and organized format that is suitable for
analysis big data using pandas and numpy libraries in python.
, (2023-03-10, Jupyter Notebook, 7KB, 下载0次)
这个项目是测试在python中只使用numpy从头开始编写的分类算法。该项目中编写的算法：KNN、逻辑回归和朴素贝叶斯分类器。
This project is to test classification algorithms wrote from scratch in python
using only numpy. Algorithms wrote in this project: KNN, Logistic Regression
and Naive Bayes classifier.
, (2017-07-23, Jupyter Notebook, 27KB, 下载0次)
使用情绪分析进行股市预测，这是一个深度学习项目（基于巴基斯坦证券交易所和新闻的数据和新闻（黎明新闻））
stock market predictions using sentiment analysis, a deep learning
project(data and news based on pakistani stock exchange and news(Dawn news))
, (2020-10-14, Jupyter Notebook, 4380KB, 下载0次)
NumPy是一个计算库，有助于加速向量代数运算，其中包括向量（点之间的距离、余弦相似性）和矩阵。具体来说，它有助于构建强大的n维阵列，使其能够顺利地与分布式和GPU系统配合使用。这是一个非常方便的图书馆，在国内广泛使用...
NumPy is a computational library that helps in speeding up Vector Algebra operations that involve Vectors (Distance between points, Cosine Similarity) and Matrices. Specifically, it helps in constructing powerful n-dimensional arrays that works smoothly with distributed and GPU systems. It is a very handy library and extensively used in the (2022-03-15, Jupyter Notebook, 25KB, 下载0次)
我为斯坦福大学的CS231n（用于视觉识别的细胞神经网络）和密歇根大学的EECS 498-007 598-005（用于计算机视觉的深度学习）提供的作业解决方案，2020版。
My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition)
and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision),
version 2020.
, (2021-04-04, Jupyter Notebook, 82069KB, 下载0次)