Introduction to Data Science A Python Approach to Concepts, Techniques and Applications This repository is part of the book: "Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications" http://www.springer.com/gp/book/9783319500164 About the Textbook: This accessible an...
and if it’s set to true, the DataFrame will be updated in place, instead of a copy being returned. The second parameter is theaxes, which should be dropped. By default, this value is 0, indicating the row axes. But you could change it to 1 if you want to drop a column. ...
PANDAS: data analysis library. Importing CSV, text file, xls, SQL databases, and some other files. It can handling missing data and intelligent data alignment. Python version and import toolboxes This book use Anaconda distribution of python. It has integrated some of the most imoportant package...
比较简单,代码和主要内容地址https://github.com/DataScienceUB/introduction-datascience-python-book 评分☆☆☆ 一知半解 评分☆☆☆ 书虽然很薄,但是内容还是很丰富的,跟书中说的一样,定位于入门书籍,数理统计的基本操作、机器学习、网络分析、自然语言处理等都有涉及。比较简单,代码和主要内容地址https://...
本文主要是作者在学习coursera的Introduction to Data Science in Python课程的学习笔记,仅供参考。 1. 50 Years of Data Science (1) Data Exploration and Preparation (2) Data Representation and Transformation (3) Computing with Data (4) Data Modeling ...
The threshold as to how much chance you are willing to accept typical values in social science are 0.1, 0.05 or 0.01 T-test from scipy import stats stats.ttest_ind? >>>Signature: stats.ttest_ind(a, b, axis=0, equal_var=True, nan_policy='propagate') >>>Docstring: Calculates the T-...
The solutions to these questions are implemented using Python programming language and presented in code boxes properly commented. This allows the reader to learn data science by solving problems which can generalize to other problems. This book is not intended to cover the whole set of data scienc...
这是密歇根大学《Introduction to Data Science in Python》的Coursera 第四周(最后一周)的作业,要求使用pandas包实现真实世界的数据清洗,以验证一个猜测:大学城的房价并没有收到经济下滑的影响,使用到了独立样本t测验。 importpandasaspdimportnumpyasnpfromscipy.statsimportttest_ind ...
to learn data science by solving problems which can generalize to other problems. This book is not intended to cover the whole set of data science methods neither to provide a complete collection of references. Currently, data science is an increasing and emerging field, so readers are ...
data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including ...