you’llworkwithreal-worlddatasets,understanddata,summarizeitscharacteristics,andvisualizeitforbusinessintelligence.BytheendofthisEDAbook,you’llhavedevelopedtheskillsrequiredtocarryoutapreliminaryinvestigationonanydataset,yieldinsightsintodata,presentyourresultswithvisualaids,andbuildamodelthatcorrectlypredictsfutureoutcomes...
Well, if you ask me why, Python has been consistently ranked among the top 10 programming languages and is widely adopted for data analysis and data mining by data science experts. In this book, we assume you have a working knowledge of Python. If you are not familiar with Python, it's...
What this book covers Chapter 1, Exploratory Data Analysis Fundamentals, will help us learn and revise the fundamental aspects of EDA. We will dig into the importance of EDA and the main data analysis tasks, and try to make sense out of data. In addition to that, we will use Python to...
Explore and run machine learning code with Kaggle Notebooks | Using data from House Prices - Advanced Regression Techniques
This can be very useful for machine learning when we need to compare the train data and test data. We will now explore how to perform Automated EDA using the analyze and compare methods in sweetviz. Getting ready We will work with the Customer Personality Analysis data from Kaggle on t...
Using Python for data analysis, you’ll work with real-world datasets, understand data, summarize its characteristics, and visualize it for business intelligence.By the end of this EDA book, you’ll have developed the skills required to carry out a preliminary investigation on any dataset, yield...
Hands-On Exploratory Data Analysis with Python About Packt Why subscribe? Contributors About the authors About the reviewer Packt is searching for authors like you Preface Who this book is for What this book covers To get the most out of this book Download the example code files Download the ...
书名: Hands-On Exploratory Data Analysis with Python作者名: Suresh Kumar Mukhiya Usman Ahmed本章字数: 86字更新时间: 2021-06-24 16:44:50 SciPy SciPy is a scientific library for Python and is open source. We are going to use this library in the upcoming chapters. This library depends on ...
Browse Library Advanced SearchSign In
Exploratory Data Analysis Using PythonIn this tutorial, you’ll use Python and Pandas to explore a dataset and create visual distributions, identify and eliminate outliers, and uncover correlations between two datasets. FacebookTwitterLinkedInRedditEmail分享...