Learning Pandas
DOWNLOAD
Download Learning Pandas PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Learning Pandas book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Learning Pandas
DOWNLOAD
Author : Michael Heydt
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-04-16
Learning Pandas written by Michael Heydt and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-16 with Computers categories.
If you are a Python programmer who wants to get started with performing data analysis using pandas and Python, this is the book for you. Some experience with statistical analysis would be helpful but is not mandatory.
Learning Pandas Second Edition
DOWNLOAD
Author : Michael Heydt
language : en
Publisher:
Release Date : 2017-06-30
Learning Pandas Second Edition written by Michael Heydt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-30 with Computers categories.
Get to grips with pandas--a versatile and high-performance Python library for data manipulation, analysis, and discoveryAbout This Book* Get comfortable using pandas and Python as an effective data exploration and analysis tool* Explore pandas through a framework of data analysis, with an explanation of how pandas is well suited for the various stages in a data analysis process* A comprehensive guide to pandas with many of clear and practical examples to help you get up and using pandasWho This Book Is ForThis book is ideal for data scientists, data analysts, Python programmers who want to plunge into data analysis using pandas, and anyone with a curiosity about analyzing data. Some knowledge of statistics and programming will be helpful to get the most out of this book but not strictly required. Prior exposure to pandas is also not required.What You Will Learn* Understand how data analysts and scientists think about of the processes of gathering and understanding data* Learn how pandas can be used to support the end-to-end process of data analysis* Use pandas Series and DataFrame objects to represent single and multivariate data* Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources* How to access data from external sources such as files, databases, and web services* Represent and manipulate time-series data and the many of the intricacies involved with this type of data* How to visualize statistical information* How to use pandas to solve several common data representation and analysis problems within financeIn DetailYou will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance.With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science.Style and approach* Step-by-step instruction on using pandas within an end-to-end framework of performing data analysis* Practical demonstration of using Python and pandas using interactive and incremental examples
Machine Learning For Neuroscience
DOWNLOAD
Author : Chuck Easttom
language : en
Publisher: CRC Press
Release Date : 2023-07-31
Machine Learning For Neuroscience written by Chuck Easttom and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-31 with Computers categories.
This book addresses the growing need for machine learning and data mining in neuroscience. The book offers a basic overview of the neuroscience, machine learning and the required math and programming necessary to develop reliable working models. The material is presented in a easy to follow user-friendly manner and is replete with fully working machine learning code. Machine Learning for Neuroscience: A Systematic Approach, tackles the needs of neuroscience researchers and practitioners that have very little training relevant to machine learning. The first section of the book provides an overview of necessary topics in order to delve into machine learning, including basic linear algebra and Python programming. The second section provides an overview of neuroscience and is directed to the computer science oriented readers. The section covers neuroanatomy and physiology, cellular neuroscience, neurological disorders and computational neuroscience. The third section of the book then delves into how to apply machine learning and data mining to neuroscience and provides coverage of artificial neural networks (ANN), clustering, and anomaly detection. The book contains fully working code examples with downloadable working code. It also contains lab assignments and quizzes, making it appropriate for use as a textbook. The primary audience is neuroscience researchers who need to delve into machine learning, programmers assigned neuroscience related machine learning projects and students studying methods in computational neuroscience.
Machine Learning With Python
DOWNLOAD
Author : Oliver Theobald
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-06
Machine Learning With Python written by Oliver Theobald and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-06 with Computers categories.
Unlock the secrets of data science and machine learning with our comprehensive Python course, designed to take you from basics to complex algorithms effortlessly Key Features Navigate through Python's machine learning libraries effectively Learn exploratory data analysis and data scrubbing techniques Design and evaluate machine learning models with precision Book DescriptionThe course starts by setting the foundation with an introduction to machine learning, Python, and essential libraries, ensuring you grasp the basics before diving deeper. It then progresses through exploratory data analysis, data scrubbing, and pre-model algorithms, equipping you with the skills to understand and prepare your data for modeling. The journey continues with detailed walkthroughs on creating, evaluating, and optimizing machine learning models, covering key algorithms such as linear and logistic regression, support vector machines, k-nearest neighbors, and tree-based methods. Each section is designed to build upon the previous, reinforcing learning and application of concepts. Wrapping up, the course introduces the next steps, including an introduction to Python for newcomers, ensuring a comprehensive understanding of machine learning applications.What you will learn Analyze datasets for insights Scrub data for model readiness Understand key ML algorithms Design and validate models Apply Linear and Logistic Regression Utilize K-Nearest Neighbors and SVMs Who this book is for This course is ideal for aspiring data scientists and professionals looking to integrate machine learning into their workflows. A basic understanding of Python and statistics is beneficial.
Learn Apache Spark
DOWNLOAD
Author : Diego Rodrigues
language : en
Publisher: StudioD21
Release Date : 2025-06-25
Learn Apache Spark written by Diego Rodrigues and has been published by StudioD21 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-25 with Business & Economics categories.
LEARN APACHE SPARK Build Scalable Pipelines with PySpark and Optimization This book is designed for students, developers, data engineers, data scientists, and technology professionals who want to master Apache Spark in practice, in corporate environments, public cloud, and modern integrations. You will learn to build scalable pipelines for large-scale data processing, orchestrating distributed workloads with AWS EMR, Databricks, Azure Synapse, and Google Cloud Dataproc. The content covers integration with Hadoop, Hive, Kafka, SQL, Delta Lake, MongoDB, and Python, as well as advanced techniques in tuning, job optimization, real-time analysis, machine learning with MLlib, and workflow automation. Includes: • Implementation of ETL and ELT pipelines with Spark SQL and DataFrames • Data streaming processing and integration with Kafka and AWS Kinesis • Optimization of distributed jobs, performance tuning, and use of Spark UI • Integration of Spark with S3, Data Lake, NoSQL, and relational databases • Deployment on managed clusters in AWS, Azure, and Google Cloud • Applied Machine Learning with MLlib, Delta Lake, and Databricks • Automation of routines, monitoring, and scalability for Big Data By the end, you will master Apache Spark as a professional solution for data analysis, process automation, and machine learning in complex, high-performance environments. Content reviewed by A.I. with technical supervision. apache spark, big data, pipelines, distributed processing, aws emr, databricks, streaming, etl, machine learning, cloud integration Google Data Engineer, AWS Data Analytics, Azure Data Engineer, Big Data Engineer, MLOps, DataOps Professional
Learning Pandas 2 0
DOWNLOAD
Author : Matthew Rosch
language : en
Publisher: GitforGits
Release Date : 2023-04-10
Learning Pandas 2 0 written by Matthew Rosch and has been published by GitforGits this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-10 with Computers categories.
"Learning Pandas 2.0" is an essential guide for anyone looking to harness the power of Python's premier data manipulation library. With this comprehensive resource, you will not only master core Pandas 2.0 concepts but also learn how to employ its advanced features to perform efficient data manipulation and analysis. Throughout the book, you will acquire a deep understanding of Pandas 2.0's data structures, indexing, and selection techniques. Gain expertise in loading, storing, and cleaning data from various file formats and sources, ensuring data integrity and consistency. As you progress, you will delve into advanced data transformation, merging, and aggregation methods to extract meaningful insights and generate insightful reports. "Learning Pandas 2.0" also covers specialized data processing needs like time series data, DateTime operations, and geospatial analysis. Furthermore, this book demonstrates how to integrate Pandas 2.0 with machine learning libraries like Scikit-learn, TensorFlow, and PyTorch for predictive analytics. This will empower you to build powerful data-driven models to solve complex problems and enhance your decision-making capabilities. Key Learnings Master core Pandas 2.0 concepts, including data structures, indexing, and selection for efficient data manipulation. Load, store, and clean data from various file formats and sources, ensuring data integrity and consistency. Perform advanced data transformation, merging, and aggregation techniques for insightful analysis and reporting. Harness time series data, DateTime operations, and geospatial analysis for specialized data processing needs. Visualize data effectively using Seaborn, Plotly, and advanced geospatial visualization tools. Integrate Pandas 2.0 with machine learning libraries like Scikit-learn, TensorFlow, and PyTorch for predictive analytics. Table of Content Introduction to Pandas 2.0 Data Read, Storage, and File Formats Indexing and Selecting Data Data Manipulation and Transformation Time Series and DateTime Operations Performance Optimization and Scaling Machine Learning with Pandas 2.0 Text Data and Natural Language Processing Geospatial Data Analysis
Multidisciplinary Approaches For Sustainable Development
DOWNLOAD
Author : Anshuman Tripathi
language : en
Publisher: CRC Press
Release Date : 2024-11-25
Multidisciplinary Approaches For Sustainable Development written by Anshuman Tripathi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-25 with Business & Economics categories.
In a world where the pace of technological advancement continues to accelerate, the imperative to ensure sustainable development has never been more pressing to address the same, the 1st International Conference on Multidisciplinary Approaches for Sustainable Development in Science & Technology (MASDST - 2024), took place at Manipal University Jaipur, Rajasthan, India, from 28th to 29th March 2024. Embracing the spirit of innovation and collaboration, this conference marks a significant milestone in the pursuit of sustainable solutions for our global challenges.
The Applied Tensorflow And Keras Workshop
DOWNLOAD
Author : Harveen Singh Chadha
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-30
The Applied Tensorflow And Keras Workshop written by Harveen Singh Chadha and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-30 with Computers categories.
Cut through the noise and get real results with this workshop for beginners. Use a project-based approach to exploring machine learning with TensorFlow and Keras. Key FeaturesUnderstand the nuances of setting up a deep learning programming environmentGain insights into the common components of a neural network and its essential operationsGet to grips with deploying a machine learning model as an interactive web application with FlaskBook Description Machine learning gives computers the ability to learn like humans. It is becoming increasingly transformational to businesses in many forms, and a key skill to learn to prepare for the future digital economy. As a beginner, you'll unlock a world of opportunities by learning the techniques you need to contribute to the domains of machine learning, deep learning, and modern data analysis using the latest cutting-edge tools. The Applied TensorFlow and Keras Workshop begins by showing you how neural networks work. After you've understood the basics, you will train a few networks by altering their hyperparameters. To build on your skills, you'll learn how to select the most appropriate model to solve the problem in hand. While tackling advanced concepts, you'll discover how to assemble a deep learning system by bringing together all the essential elements necessary for building a basic deep learning system - data, model, and prediction. Finally, you'll explore ways to evaluate the performance of your model, and improve it using techniques such as model evaluation and hyperparameter optimization. By the end of this book, you'll have learned how to build a Bitcoin app that predicts future prices, and be able to build your own models for other projects. What you will learnFamiliarize yourself with the components of a neural networkUnderstand the different types of problems that can be solved using neural networksExplore different ways to select the right architecture for your modelMake predictions with a trained model using TensorBoardDiscover the components of Keras and ways to leverage its features in your modelExplore how you can deal with new data by learning ways to retrain your modelWho this book is for If you are a data scientist or a machine learning and deep learning enthusiast, who is looking to design, train, and deploy TensorFlow and Keras models into real-world applications, then this workshop is for you. Knowledge of computer science and machine learning concepts and experience in analyzing data will help you to understand the topics explained in this book with ease.
Learning Pandas
DOWNLOAD
Author : Harish Garg
language : en
Publisher:
Release Date : 2017
Learning Pandas written by Harish Garg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
"Pandas is a popular Open Source Python package that provides fast, high performance data structures for performing efficient data manipulation and analysis. It has quickly emerged as a popular choice of tool for analysts to solve real-world analytical problems. This video will show you how you can get the most out of pandas for data analysis.The course starts with teaching you the absolute basics such as installing and setting up of the pandas library. Then, you will be introduced to fundamental data structures in pandas and the different data types, indexing, and more. You will then implement the basic functionalities of the pandas library such as working with different kinds of data, indexing, and handling missing data. The course will also teach you how to analyze and model your data, and organize the results of your analysis in the form of plots or other visualization means. Throughout the course, you will implement simple yet highly effective examples and use-cases which are relevant in the real-world scenario, as you build on your understanding of pandas.By the end of this course, you will have a firm understanding of the basics of pandas. You will be ready to start using pandas for different data science tasks with confidence."--Resource description page.
Learning Pandas
DOWNLOAD
Author : Michael Heydt
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-06-30
Learning Pandas written by Michael Heydt and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-30 with Computers categories.
Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery About This Book Get comfortable using pandas and Python as an effective data exploration and analysis tool Explore pandas through a framework of data analysis, with an explanation of how pandas is well suited for the various stages in a data analysis process A comprehensive guide to pandas with many of clear and practical examples to help you get up and using pandas Who This Book Is For This book is ideal for data scientists, data analysts, Python programmers who want to plunge into data analysis using pandas, and anyone with a curiosity about analyzing data. Some knowledge of statistics and programming will be helpful to get the most out of this book but not strictly required. Prior exposure to pandas is also not required. What You Will Learn Understand how data analysts and scientists think about of the processes of gathering and understanding data Learn how pandas can be used to support the end-to-end process of data analysis Use pandas Series and DataFrame objects to represent single and multivariate data Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources How to access data from external sources such as files, databases, and web services Represent and manipulate time-series data and the many of the intricacies involved with this type of data How to visualize statistical information How to use pandas to solve several common data representation and analysis problems within finance In Detail You will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance. With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science. Style and approach Step-by-step instruction on using pandas within an end-to-end framework of performing data analysis Practical demonstration of using Python and pandas using interactive and incremental examples