搜索资源列表
Machine-Learning-in-Python
- 《Python机器学习及实践：从零开始通往Kaggle竞赛之路》源码，提供了一些流行的机器学习框架与程序库的应用实例，包括tensorflow框架，注重实战。-Python machine learning and practice: zero to the road leading to the Kaggle contest source code, provides some popular machine learning framework and application examp
Python-STL
- Python 标准库程序文件，数据挖掘相关文件-Python STL
python-turtle
- 调用python的turtle库，读取同一个文件夹下的数据文件，根据读取的数据进行绘制。-use the turtle in python, and read the file to get the data, draw a picture by turtle and the input file data.
Python-Standard-Library-Example
- Python 各种标准库的例程，可以阅读、测试、学习，也可以添加注释.-Python Standard Library Example
pls
- PLS 来自于python 库，用于数学模型的建立-PLS the python library for mathematical model
hyperopt-hyperopt-0.1-2-gba2fe77
- HyperOpt：分布式异步超参数优化 HyperOpt是串行和并行优化Python库用于搜索空间，它可以包括实值的，离散的，有条件的维度.(hyperopt: Distributed Asynchronous Hyper-parameter Optimization Hyperopt is a Python library for serial and parallel optimization over awkward search spaces, which may incl
hyperopt参数调优
- HyperOpt：分布式异步超参数优化 HyperOpt是串行和并行优化Python库用于搜索空间，它可以包括实值的，离散的，有条件的维度.(hyperopt: Distributed Asynchronous Hyper-parameter Optimization Hyperopt is a Python library for serial and parallel optimization over awkward search spaces, which may incl
日常运动数据分析
- 用anaconda内部的科学库进行分析运动数据，并能对数据进行分类。(Anaconda's internal science library is used to analyze the motion data and to classify the data.)
numpy-1.11.2
- Python常用的数学计算库，numpy。版本为1.11.2。用命令行在根目录安装即可(Python commonly used mathematical computing library, numpy. Version 1.11.2. Use the command line to install in the root directory)
watershed
- 图像分水岭分割图像，采用python，opencv库。(watershed of image,python+opencv)
python
- gabor滤波器提取图像特征，使用了opencv库(Gabor filter to extract image features)
pywinusb-0.4.2
- 在window下的usb ，python开发库(USB, python development libraries under window)
plotCurve2
- 在PYTHON中实现基本的绘图功能以及添加文字说明 其中用到numpy库(Drawing function)
Downhuawei
- 通过python的request库从华为应用商店爬取apk文件(Retrieve the apk file from the Huawei app store)
network2
- 初学机器学习，第一步是做一个简单的手写数字识别，我选用的是MNIST数据集（用其他数据集也可以，原理都差不多），算法是KNN（下载库直接调用函数，算法的具体实现没有过多关心）。在网上也看到过MNIST数据集的Python代码，但是感觉有些复杂，作为初学者见到那么多代码就头大……这里分享一下我的代码，虽然并不完善，但是可以为其他初学者提供一点简单的思路吧。(Learning machine learning, the first step is to do a simple handwritten
animation
- 利用matplotlib库函数，模拟下雨动画以及各种动画过程(Use Matplotlib library function to simulate rain animation and various animation process)
add_num
- 使用python的相关库和函数给一张图片添加数字，可以控制位置和大小等参数； 利用python制作词云(To add a number on a photo and you can control the location an size; use python to make a wordcloud)
Hands_on_ML
- 很棒的入门向机器学习/数据科学的图书，基于scikit learn和TensorFlow库，手把手叫你如何上手机器学习，如何做数据挖掘。(the Best seller In American Amazon. With this book, you can learn a lot about how to use sklean and Tensorflow, in addition, you can have a practical understanding on the whole mach
ScreenCapture
- 利用ImageGrab库，进行计算机的屏幕截取并保存为JPEG格式的文件。定时时间间隔通过配置文件控制。(Using ImageGrab library, capture computer screen and save to JPEG file . The timing interval is controlled by configuration file.)
xiaozhuduanzuInfo
- 利用requests库和BeautifulSoup库对小猪短租网站进行爬取一系列信息，并自动获取下一页url 链接(Using requests library and BeautifulSoup library to crawl a series of information on the short rental website of piglets, and automatically obtain the next page URL link)