爬虫抓取微博信息

【实例简介】

Python implementation of 1D SPH schemes

说明：  python基础系列第三弹，循环结构代码(Cyclic structure code)

由于Relief算法比较简单，运行效率高，并且结果也比较令人满意，因此得到广泛应用，但是其局限性在于只能处理两类别数据，因此1994年Kononeill对其进行了扩展，得到了ReliefF作算法，可以处理多类别问题。该算法用于处理目标属性为连续值的回归问题。(Because Relief algorithm is relatively simple, high efficiency, and the results are more satisfactory, so widely used, but its limitation is that only two types of data can be processed, so Kononeill in 1994 to expand it, get ReliefF algorithm , Can handle multiple categories of problems. The algorithm is used to deal with the regression problem that the target attribute is a continuous value.)

【实例简介】

这个储存库是我的作品和与数据科学和机器学习相关的项目的集合。在我的脚本中，我主要使用python及其专用的库：pandas、numpy、scipy、sci kit learn、matplotlib、basemap plotly。我还用了一些d3进行数据可视化。我还尝试从sci kit学习库中定制算法实现(This repository is a collection of my works and projects related to Data Science and Machine Learning. In my scripts I use mainly Python and its dedicated librarys: Pandas, NumPy, SciPy, Sci-Kit Learn, Matplotlib, Basemap Plotly. I had also used some D3 for data visualizations. I also try to make custom implementations of algorithms known from Sci-Kit Learn library.)

使用快排与堆排序的思想求解TOPK算法的PYTHON3实现

残差神经网络的Python实现,用于机器学习的图像识别方向。(Python implement on Residual Network)

OpenCV算法精讲中算法的代码实现，利用python语言实现了OpenCV库中的基本的图像处理的方法(code of OpenCV by python)

KNN移动号码套餐机器学习分类。使用KNN分类方法对移动的号码进行套餐分类。在input.txt 中输入要分类的手机号码。运行KNN, 就会生成，output.txt 结果。