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Doc ↠ HandsOn Data Analysis with Pandas Download × Feedmarkformulate

Doc HandsOn Data Analysis with Pandas

Doc ↠ HandsOn Data Analysis with Pandas Download × Feedmarkformulate ↠ [PDF / Epub] ★ Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python By Stefanie Molin – Get to grips with pandas―a versGet 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 Description Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant valueHands 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 d É um livro c

Stefanie Molin ó Efficiently perform data collection Reader

Lems Build Python scripts modules and packages for reusable analysis code Who this book is for This 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 beneficialTable of Contents Introduction to Data Analysis Working with Pandas DataFrames Data Wrangling with Pandas Aggregating Pandas DataFrames Data Visualization with Pandas and Matplotlib Plotting with Seaborn and Customization Techniues Financial Analysis with Pandas Bitcoin and the Stock Market Rule based Anomaly Detection Catching Hackers Getting started with Machine Learning in Python Making Better Predictions Optimizing ML Models ML Anomaly Detection Catching Hackers Part 2 The Road Ahead Very good res

Epub ¾ On Data Analysis with Pandas ó Stefanie Molin

Hands On Data Analysis with Pandas Efficiently perform data collection wrangling analysis and visualization using PythonAta 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 dataBy the end of this book you will be euipped 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 prob If you are ne