|
Books > Computing & IT > General theory of computing
|
Buy Now
Hands-On Data Analysis with Pandas - Efficiently perform data collection, wrangling, analysis, and visualization using Python (Paperback)
Loot Price: R1,377
Discovery Miles 13 770
|
|
|
Hands-On Data Analysis with Pandas - Efficiently perform data collection, wrangling, analysis, and visualization using Python (Paperback)
Expected to ship within 10 - 15 working days
|
Get to grips with pandas-a versatile and high-performance Python
library for data manipulation, analysis, and discovery Key Features
Perform efficient data analysis and manipulation tasks using pandas
Apply pandas to different real-world domains using step-by-step
demonstrations Get accustomed to using pandas as an effective data
exploration tool Book DescriptionData analysis has become a
necessary skill in a variety of positions where knowing how to work
with data and extract insights can generate significant value.
Hands-On Data Analysis with Pandas will show you how to analyze
your data, get started with machine learning, and work effectively
with Python libraries often used for data science, such as pandas,
NumPy, matplotlib, seaborn, and scikit-learn. Using real-world
datasets, you will learn how to use the powerful pandas library to
perform data wrangling to reshape, clean, and aggregate your data.
Then, you will learn how to conduct exploratory data analysis by
calculating summary statistics and visualizing the data to find
patterns. In the concluding chapters, you will explore some
applications of anomaly detection, regression, clustering, and
classification, using scikit-learn, to make predictions based on
past data. By the end of this book, you will be equipped with the
skills you need to use pandas to ensure the veracity of your data,
visualize it for effective decision-making, and reliably reproduce
analyses across multiple datasets. What you will learn Understand
how data analysts and scientists gather and analyze data Perform
data analysis and data wrangling in Python Combine, group, and
aggregate data from multiple sources Create data visualizations
with pandas, matplotlib, and seaborn Apply machine learning (ML)
algorithms to identify patterns and make predictions Use Python
data science libraries to analyze real-world datasets Use pandas to
solve common data representation and analysis problems Build Python
scripts, modules, and packages for reusable analysis code Who this
book is forThis book is for data analysts, data science beginners,
and Python developers who want to explore each stage of data
analysis and scientific computing using a wide range of datasets.
You will also find this book useful if you are a data scientist who
is looking to implement pandas in machine learning. Working
knowledge of Python programming language will be beneficial.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
You might also like..
|
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
(1)
