本文译自Medium，作者是 Frank Andrade，原标题为“5 Solved end-to-end Data Science Projects in Python”。要学好数据科学，必须学习数学、统计和编程这三门基础课程。但是只学好这三门课就够了吗？你知道如何更多地接触并实践应用数据科学吗？项目学习是一种非常好的方式！ 通过一个项目，可以实践你从数学、统...
本文将为你介绍 5 个优秀的数据科学项目,既有适合初学者的项目,也有高级项目,它们都是运用Python实现的,通过这些项目你可以充分了解数据科学对于企业的价值所在。本文译自Medium,作者是 Frank Andrade,原标题为“5 Solved end-to-end Data Science Projects in Python”。 Photo by Austin Distel on Unsplash 要学好...
Apart from standalone projects, I will highly recommend you to work on open-source projects to get even more exposure to industrial practices and tools. I hope you like all the projects that I have mentioned, do let me know if you need assistance with a data science and machine learning c...
去重,使用 pd.DataFrame.duplicated,重复的返回True 1fromlxmlimportobjectify2importpandas as pd34xml = objectify.parse(open('XMLData2.xml'))5root =xml.getroot()6df = pd.DataFrame(columns=('Number','String','Boolean'))78foriinrange(0,4):9obj =root.getchildren()[i].getchildren()10row = ...
importpandasaspddf=pd.read_csv('data.csv')# 读取CSV文件print(df.head())# 查看前几行 NumPy 提供高效的多维数组操作和数值计算能力,是科学计算的基础。 importnumpyasnparr=np.array([1,2,3])print(arr.mean())# 计算平均值 数据可视化 Matplotlib ...
通过Python 入门数据科学(Data Science) 不论你是有着数学或者计算机相关背景的爱好数据科学(Data Science)领域的萌新,或是一个不相关的领域专家,你都不可避免接触到数据科学。而你又不需要那些昂贵的、特专业的企业软件的话,那你可以选择这篇文章所介绍的开源工具!
address ='~/Data/mtcars.csv'cars = pd.read_csv(address) cars.columns = ['car_names','mpg','cyl','disp','hp','drat','wt','qsec','vs','am','gear','carb'] mpg = cars.mpg mpg.iplot(kind='histogram', filename='simple-histogram-chart') ...
Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python,with the help of realistic data. The book will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary...
IDEs and notebook platforms are both great tools for data scientists to quickly write code and analysis for data projects. There are a lot of great tools available. In this article, we will cover six of the best IDEs used in the field of data science. These tools emphasize easily importing...
All of us in the micro:bit partnership will know we've achieved our goals when, for example, kids start using services like Jupyter notebooks on Azure to present data from their Geography projects. Such continuity from first steps to data scientist is essential if we're to help the next ge...