Books with author Marky Smarty

This book is a guide for you on how to use Pandas and Numpy in Python programming language for data analysis. The author begins by helping you familiarize yourself with the basics of data science, Numpy and Pandas. You are guided on how to work with Numpy arrays and how to manipulate them. The various operations that you can perform on your data via the Pandas library have been discussed. You will also know how to create various data structures in Pandas for data storage. Data from the environment is dirty. The process of cleaning such data has been discussed. This involves handling outliers, missing values etc. The author guides you on how to work with data in various types of storage formats. Examples include MS Excel, CSV files, JSON, etc. You are also guided on how to calculate various measures for your data. The process of visualizing data has been explored in detail. About this book: Getting Started with Python for Data Science Working with Numpy Working with Pandas Cleansing Data Working with CSV Data Working with XLS Data Data Wrangling Measures of Central Tendency Calculating Variance Normal Distribution Working with JSON Data Data VisualizationTags: data science with python, python, pandas programming, numpy, pandas, pandas python, pandas in python, numpy in python, numpy python, numpy pandas, data science, ms excel books, json, python for data science, pivot tables, excel pivot tables, data visualisation, data visualisation python, data visualisation for dummies, data visualisation excel, algorithms for data science.

This book is an exploration of Keras, a deep learning library developed in Python. The author begins by helping you understand more details about the keras library to help you understand where and how you can use it. The various Keras layers have been discussed; hence you will know what you can use them for. Keras comes with various optimizers that you can use to optimize your deep learning models. These have been discussed in detail. The cost functions provided by the library have also been explored in detail. The various metrics used to measure the performance of models developed in Keras have been discussed. Keras can be used for performing basic classification tasks. You will learn this in details. It is also a good library for image classification tasks. The author has explored this. Text classification is a common task today in data processing. The author helps you know how to perform this task with the Keras library. Advanced Keras features such as checkpoints and callbacks have also been discussed. The table of content is:- What is Keras model?- Basic Classification Tasks with Keras- Keras for Image Classification- Keras for Text Classification- Advanced Keras Tags: python, keras python, scikit learn, deeplearning4j, tensorflow keras, keras deep learning, numpy python, python programming, theano, keras tensorflow, deep learning with keras, cntk, python tensorflow, lambda.

This notebook features the Latin Sentence "Alea Iacta Est" (The die is cast) on the cover. There is ample room inside for writing notes and ideas. It can be used as a notebook, journal or composition book. This paperback notebook is 6" x 9" and has 110 pages (55 sheets) Specifications: Cover Finish: Matte Dimensions: 6" x 9" (15.24 x 22.86 cm)Interior: Lined, White PaperPages: 110

This doodle inspired sketchbook is the perfect place to create your masterpiece. Filled with 100 blank pages, this drawing book is perfect for kids, girls, teens and tweens who love to create. This cute sketchbook is 6" x 9" and has 100 pages with Tiny Doodles on every page. Specifications: Cover Finish: Matte Dimensions: 6" x 9" (15.24 x 22.86 cm)Interior: Unlined, White PaperPages: 100

Lightweight and perfect journal for traveling with Geographical Coordinates and Wind Rose on the cover. This soft cover travel diary is perfect for tucking into a full bag or suitcase. The cover is a matte finish. Keep your memories for longer by journalling them in your travel journal. A nice affordable travel diary designed with the traveler in mind. This would make a great gift for the traveler in your life. Get yours today! Specifications: Cover Finish: Matte Dimensions: 6" x 9" (15.24 x 22.86 cm)Interior: Lined, White Paper Pages: 110

This is a guide to Android application developers on how to use Android Studio 6 to develop their apps. The first part is a guide on how to use the Code Editor in Android 6. The Code Editor provides programmers with an environment in which they can write their code, and perform some editing to it. The various features and functionalities provided by the Code Editor are discussed. Auto completion, which helps you to avoid too much typing, is also discussed, and you will learn how to enjoy using this feature. You will also learn how to split the Code Editor window to get various panels. Code folding is explored in detail. The various parts which form the code editor in Android Studio 6 are examined, along with the Designer Tool in Android Studio, which helps the user to create the user interface part for their Android apps. You will learn how to use in its various modes, that is, the Text and the Design modes. The use of Java Code in Android Studio 6 to create the user interface is explained in detail. The following topics are discussed:- The Code Editor in Android 6- The Designer Tool in Android Studio- Designing the User Interface with Android Designer- Use of Java Code in Android 6 to Create the User Interface

This book is a guide for you on how to use Pandas and Numpy in Python programming language for data analysis. The author begins by helping you familiarize yourself with the basics of data science, Numpy and Pandas. You are guided on how to work with Numpy arrays and how to manipulate them. The various operations that you can perform on your data via the Pandas library have been discussed. You will also know how to create various data structures in Pandas for data storage. Data from the environment is dirty. The process of cleaning such data has been discussed. This involves handling outliers, missing values etc. The author guides you on how to work with data in various types of storage formats. Examples include MS Excel, CSV files, JSON, etc. You are also guided on how to calculate various measures for your data. The process of visualizing data has been explored in detail. About this book: Getting Started with Python for Data Science Working with Numpy Working with Pandas Cleansing Data Working with CSV Data Working with XLS Data Data Wrangling Measures of Central Tendency Calculating Variance Normal Distribution Working with JSON Data Data VisualizationTags: data science with python, python, pandas programming, numpy, pandas, pandas python, pandas in python, numpy in python, numpy python, numpy pandas, data science, ms excel books, json, python for data science, pivot tables, excel pivot tables, data visualisation, data visualisation python, data visualisation for dummies, data visualisation excel, algorithms for data science.

This book is an exploration of Keras, a deep learning library developed in Python. The author begins by helping you understand more details about the keras library to help you understand where and how you can use it. The various Keras layers have been discussed; hence you will know what you can use them for. Keras comes with various optimizers that you can use to optimize your deep learning models. These have been discussed in detail. The cost functions provided by the library have also been explored in detail. The various metrics used to measure the performance of models developed in Keras have been discussed. Keras can be used for performing basic classification tasks. You will learn this in details. It is also a good library for image classification tasks. The author has explored this. Text classification is a common task today in data processing. The author helps you know how to perform this task with the Keras library. Advanced Keras features such as checkpoints and callbacks have also been discussed.The table of content is:- What is Keras model?- Basic Classification Tasks with Keras- Keras for Image Classification- Keras for Text Classification- Advanced Keras Tags: python, keras python, scikit learn, deeplearning4j, tensorflow keras, keras deep learning, numpy python, python programming, theano, keras tensorflow, deep learning with keras, cntk, python tensorflow, lambda.

This is a guide to Android application developers on how to use Android Studio 6 to develop their apps. The first part is a guide on how to use the Code Editor in Android 6. The Code Editor provides programmers with an environment in which they can write their code, and perform some editing to it. The various features and functionalities provided by the Code Editor are discussed. Auto completion, which helps you to avoid too much typing, is also discussed, and you will learn how to enjoy using this feature. You will also learn how to split the Code Editor window to get various panels. Code folding is explored in detail. The various parts which form the code editor in Android Studio 6 are examined, along with the Designer Tool in Android Studio, which helps the user to create the user interface part for their Android apps. You will learn how to use in its various modes, that is, the Text and the Design modes. The use of Java Code in Android Studio 6 to create the user interface is explained in detail. The following topics are discussed:- The Code Editor in Android 6 - The Designer Tool in Android Studio - Designing the User Interface with Android Designer - Use of Java Code in Android 6 to Create the User Interface