Pemrograman Data Science Dengan Python Gui Studi Kasus Dataset Diabetes Dan Kanker Payudara

DOWNLOAD

Download Pemrograman Data Science Dengan Python Gui Studi Kasus Dataset Diabetes Dan Kanker Payudara PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Pemrograman Data Science Dengan Python Gui Studi Kasus Dataset Diabetes Dan Kanker Payudara 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

Pemrograman Data Science Dengan Python Gui Studi Kasus Dataset Diabetes Dan Kanker Payudara

DOWNLOAD
Author : Vivian Siahaan
language : id
Publisher: BALIGE PUBLISHING
Release Date : 2021-08-14

Pemrograman Data Science Dengan Python Gui Studi Kasus Dataset Diabetes Dan Kanker Payudara written by Vivian Siahaan and has been published by BALIGE PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-14 with Computers categories.

Buku ini merupakan versi bahasa Indonesia dari buku kami yang berjudul “Practical Data Science Programming for Medical Datasets Analysis and Prediction with Python GUI”. Anda dapat menemukannya di Google Books dan Amazon. Pada proyek pertama, Anda akan mempelajari cara menggunakan Scikit-Learn, SVM, NumPy, Pandas, dan library lainnya untuk melakukan cara memprediksi diabetes tahap awal menggunakan Early Stage Diabetes Risk Prediction Dataset yang disediakan di Kaggle. Dataset ini berisi data tanda dan gejala penderita diabetes atau pasien yang berpotensi mengidap diabetes. Dataset telah dikumpulkan dengan menggunakan kuesioner langsung dari pasien Rumah Sakit Sylhet Diabetes di Sylhet, Bangladesh dan disetujui oleh dokter. Dataset terdiri dari total 15 fitur dan satu variabel target bernama class. Pada proyek ini, Anda akan mengembangkan GUI menggunakan PyQt5 untuk menampilkan distribusi fitur, feature importance, skor validasi silang, dan nilai terprediksi versus nilai sebenarnya, dan confusion matrix. Pada proyek kedua, Anda akan belajar bagaimana menerapkan Scikit-Learn, NumPy, Pandas, dan sejumlah pustaka lain untuk menganalisa dan memprediksi kanker payudara menggunakan Breast Cancer Prediction Dataset yang disediakan di Kaggle. Di seluruh dunia, kanker payudara adalah jenis kanker yang paling umum pada wanita dan tertinggi kedua dalam hal angka kematian. Diagnosis kanker payudara dilakukan ketika ditemukan benjolan abnormal (dari pemeriksaan sendiri atau x-ray) atau setitik kecil dari kalsium yang terlihat (pada x-ray). Setelah benjolan yang mencurigakan ditemukan, dokter akan melakukan diagnosis untuk menentukan apakah itu kanker dan, jika ya, apakah sudah menyebar ke bagian tubuh lain. Dataset kanker payudara ini diperoleh dari University of Wisconsin Hospitals, Madison dari Dr. William H. Wolberg. Pada proyek ini, Anda juga akan mengembangkan GUI menggunakan PyQt5 untuk menampilkan decision boundary, ROC, distribusi fitur, feature importance, skor validasi silang, dan nilai terprediksi versus nilai sebenarnya, dan confusion matrix.

Data Science Dengan Python Gui Untuk Programmer

DOWNLOAD
Author : Vivian Siahaan
language : id
Publisher: BALIGE PUBLISHING
Release Date : 2021-08-19

Data Science Dengan Python Gui Untuk Programmer written by Vivian Siahaan and has been published by BALIGE PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-19 with Computers categories.

Buku 1: Pemrograman DATA SCIENCE dengan Python GUI: Studi Kasus Dataset Diabetes Dan Kanker Payudara Buku ini merupakan versi bahasa Indonesia dari buku kami yang berjudul “Practical Data Science Programming for Medical Datasets Analysis and Prediction with Python GUI”. Anda dapat menemukannya di Google Books dan Amazon. Pada proyek pertama, Anda akan mempelajari cara menggunakan Scikit-Learn, SVM, NumPy, Pandas, dan library lainnya untuk melakukan cara memprediksi diabetes tahap awal menggunakan Early Stage Diabetes Risk Prediction Dataset yang disediakan di Kaggle. Dataset ini berisi data tanda dan gejala penderita diabetes atau pasien yang berpotensi mengidap diabetes. Dataset telah dikumpulkan dengan menggunakan kuesioner langsung dari pasien Rumah Sakit Sylhet Diabetes di Sylhet, Bangladesh dan disetujui oleh dokter. Dataset terdiri dari total 15 fitur dan satu variabel target bernama class. Pada proyek ini, Anda akan mengembangkan GUI menggunakan PyQt5 untuk menampilkan distribusi fitur, feature importance, skor validasi silang, dan nilai terprediksi versus nilai sebenarnya, dan confusion matrix. Pada proyek kedua, Anda akan belajar bagaimana menerapkan Scikit-Learn, NumPy, Pandas, dan sejumlah pustaka lain untuk menganalisa dan memprediksi kanker payudara menggunakan Breast Cancer Prediction Dataset yang disediakan di Kaggle. Di seluruh dunia, kanker payudara adalah jenis kanker yang paling umum pada wanita dan tertinggi kedua dalam hal angka kematian. Diagnosis kanker payudara dilakukan ketika ditemukan benjolan abnormal (dari pemeriksaan sendiri atau x-ray) atau setitik kecil dari kalsium yang terlihat (pada x-ray). Setelah benjolan yang mencurigakan ditemukan, dokter akan melakukan diagnosis untuk menentukan apakah itu kanker dan, jika ya, apakah sudah menyebar ke bagian tubuh lain. Dataset kanker payudara ini diperoleh dari University of Wisconsin Hospitals, Madison dari Dr. William H. Wolberg. Pada proyek ini, Anda juga akan mengembangkan GUI menggunakan PyQt5 untuk menampilkan decision boundary, ROC, distribusi fitur, feature importance, skor validasi silang, dan nilai terprediksi versus nilai sebenarnya, dan confusion matrix. Buku 2: IMPLEMENTASI DATA SCIENCE BERBASIS PROYEK DENGAN PYTHON GUI Buku ini merupakan versi bahasa Indonesia dari buku kami yang berjudul “Step by Step Project-Based Tutorials for Data Science with Python GUI: Traffic and Heart Attack Analysis and Prediction”. Anda dapat menemukannya di Google Books dan Amazon. Pada Bab 1, Anda akan mempelajari dasar-dasar pemrograman Python GUI dengan PyQ5. Anda akan belajar menciptakan sejumlah GUI dengan bantuan Qt Designer. Pada proyek di Bab 2, Anda akan belajar menggunakan dan menerapkan modul Scikit-Learn, NumPy, Pandas, dan sejumlah modul lain untuk menganalisa dan memprediksi serangan jantung menggunakan Heart Attack Analysis & Prediction Dataset yang disediakan di Kaggle. Di sini, Anda akan mengembangkan sebuah GUI untuk menampilkan distribusi tiap fitur pada dataset, matriks korelasi, confusion matrix, dan nilai-nilai sebenarnya versus nilai-nilai prediksi. Model-model machine learning yang dipakai pada proyek ini adalah Logistic Regression, K-Nearest Neighbor, Support Vector Machine, Decision Tree, Random Forest, Adaboost, Gradient Boosting, SGBoost, dan MLP. Pada proyek di Bab 3, Anda akan belajar dan menerapkan Scikit-Learn, Scipy, dan sejumlah pustaka lain untuk mengimplementasikan bagaimana menganalisa dan memprediksi trafik kendaraan pada empat persimpangan jalan menggunakan Traffic Prediction Dataset yang disediakan di Kaggle. Dataset memuat 48.1k (48120) observasi banyaknya kendaraan tiap jam di empat persimpangan jalan berbeda. Dataset ini memuat empat kolom: 1) DateTime; 2) Juction; 3) Vehicles; dan 4) ID. Pada proyek ini, Anda akan mengembangkan sebuah GUI untuk menampilkan distribusi kerapatan probabilitas tiap fitur, data pada tiap persimpangan dalam runtun waktu, distribusi banyak kendaraan berdasarkan waktu (tahun, bulan, dan hari) dan persimpangan, matriks korelasi, korelasi-diri parsial, hasil pelatihan model-model Random Forest, keutamaan fitur, dan banyak kendaraan berdasarkan hari untuk beberapa bulan ke depan. Buku 3: TUMOR OTAK: Analisis, Klasifikasi, dan Deteksi Menggunakan Machine Learning dan Deep Learning dengan Python GUI Buku ini merupakan versi bahasa Indonesia dari buku kami yang berjudul “BRAIN TUMOR: Analysis, Classification, and Detection Using Machine Learning and Deep Learning with Python GUI”. Anda dapat menemukannya di Google Books dan Amazon. Tentu, Anda telah banyak menjumpai buku-buku yang memberikan pemahaman fundamental dan teoritis yang berkaitan dengan Machine Learning dan Deep Learning. Berbeda dari buku-buku tersebut, buku ini diperuntukkan bagi Anda yang ingin mengupas data science, khususnya Machine Learning dan Deep Learning, dengan secara langsung mempraktekkannya dalam sebuah proyek. Hal ini akan meningkatkan kemampuan pemrograman Anda ketika Anda nantinya berniat untuk menjadi seorang Data Scientist. Pada proyek ini, Anda akan mempelajari cara menggunakan Scikit-Learn, TensorFlow, Keras, NumPy, Pandas, Seaborn, dan pustaka lainnya untuk menerapkan analisis, klasifikasi dan deteksi tumor otak dengan pembelajaran mesin (Machine Learning) dan Deep Learning menggunakan dataset Brain Tumor yang disediakan di Kaggle. Dataset ini berisi lima fitur orde pertama: Mean (kontribusi intensitas piksel individu untuk seluruh gambar), Variance (digunakan untuk menemukan bagaimana setiap piksel bervariasi dari piksel tetangga 0, Standard Deviation (deviasi nilai terukur atau data dari mean), Skewness (ukuran simetri), dan Kurtosis (menggambarkan puncak, misalnya, distribusi frekuensi). Dataset ini juga berisi delapan fitur orde kedua: Contrast, Energy, ASM (Angular second moment), Entropy, Homogeneity, Dissimilarity, Correlation, dan Coarseness. Model machine learning yang digunakan dalam proyek ini adalah K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, dan Support Vector Machine. Model deep learning yang digunakan dalam proyek ini adalah MobileNet dan ResNet50. Pada proyek ini, Anda akan mengembangkan GUI menggunakan PyQt5 untuk menampilkan decision boundary, ROC, distribusi fitur, feature importance, skor validasi silang, dan nilai terprediksi versus nilai sebenarnya, confusion matrix, rugi pelatihan, dan akurasi pelatihan.

Data Mining For The Masses

DOWNLOAD
Author : Matthew North
language : en
Publisher:
Release Date : 2012-08-18

Data Mining For The Masses written by Matthew North and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-18 with Data mining categories.

Have you ever found yourself working with a spreadsheet full of data and wishing you could make more sense of the numbers? Have you reviewed sales or operations reports, wondering if there's a better way to anticipate your customers' needs? Perhaps you've even thought to yourself: There's got to be more to these figures than what I'm seeing! Data Mining can help, and you don't need a Ph.D. in Computer Science to do it. You can forecast staffing levels, predict demand for inventory, even sift through millions of lines of customer emails looking for common themes-all using data mining. It's easier than you might think. In Data Mining for the Masses, professor Matt North-a former risk analyst and database developer for eBay.com-uses simple examples, clear explanations and free, powerful, easy-to-use software to teach you the basics of data mining; techniques that can help you answer some of your toughest business questions. You've got data and you know it's got value, if only you can figure out how to unlock it. This book can show you how. Let's start digging! Through an agreement with the Global Text Project, an electronic version of this text is available online at (http://globaltext.terry.uga.edu/books). Proceeds from the sales of printed copies through Amazon enable the author to support the Global Text Project's goal of making electronic texts available to students in developing economies.

Predictive Analytics And Data Mining

DOWNLOAD
Author : Vijay Kotu
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-11-27

Predictive Analytics And Data Mining written by Vijay Kotu and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-27 with Computers categories.

Put Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining.You’ll be able to:1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process.2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases.3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining tool Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naïve Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regression, Association analysis using Apriori and FP Growth, K-Means clustering, Density based clustering, Self Organizing Maps, Text Mining, Time series forecasting, Anomaly detection and Feature selection. Implementation files can be downloaded from the book companion site at www.LearnPredictiveAnalytics.com Demystifies data mining concepts with easy to understand language Shows how to get up and running fast with 20 commonly used powerful techniques for predictive analysis Explains the process of using open source RapidMiner tools Discusses a simple 5 step process for implementing algorithms that can be used for performing predictive analytics Includes practical use cases and examples

Healthcare Information Systems

DOWNLOAD
Author : Kevin Beaver
language : en
Publisher: CRC Press
Release Date : 2002-12-23

Healthcare Information Systems written by Kevin Beaver and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-12-23 with Computers categories.

The move to manage medicine from a financial perspective, i.e. managed care, has added huge layers of bureaucratic and administrative functions to healthcare. The need to have the ability to track patient medical records, mandated by government legislation such as HIPAA, is bringing new technologies and processes into the healthcare arena. A univer

Augmented Reality In Education

DOWNLOAD
Author : Vladimir Geroimenko
language : en
Publisher: Springer Nature
Release Date : 2020-05-26

Augmented Reality In Education written by Vladimir Geroimenko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-26 with Computers categories.

This is the first comprehensive research monograph devoted to the use of augmented reality in education. It is written by a team of 58 world-leading researchers, practitioners and artists from 15 countries, pioneering in employing augmented reality as a new teaching and learning technology and tool. The authors explore the state of the art in educational augmented reality and its usage in a large variety of particular areas, such as medical education and training, English language education, chemistry learning, environmental and special education, dental training, mining engineering teaching, historical and fine art education. Augmented Reality in Education: A New Technology for Teaching and Learning is essential reading not only for educators of all types and levels, educational researchers and technology developers, but also for students (both graduates and undergraduates) and anyone who is interested in the educational use of emerging augmented reality technology.

Mobile Broadband

DOWNLOAD
Author : Mustafa Ergen
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-05

Mobile Broadband written by Mustafa Ergen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-05 with Technology & Engineering categories.

This book addresses the emerging technology for Orthogonal Frequency Division Multiple Access (OFDMA), covering OFDMA physical layer as well as network technology. The book also includes information on IEEE 802.16e and WiMAX networks and also offers a comparison with other OFDMA technologies. OFDMA is the fastest growing area in the wireless marketplace, and the backbone of systems used in WiMAX. WiMAX is the technology that enables wireless users to communicate at any time from any location without having to find a WiFi hotspot.

Extensive Reading Activities For Teaching Language

DOWNLOAD
Author : Julian Bamford
language : en
Publisher: Cambridge University Press
Release Date : 2004-08-16

Extensive Reading Activities For Teaching Language written by Julian Bamford and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-16 with Foreign Language Study categories.

This lively collection of over 100 classroom activities allows teachers to exploit fully the language learning potential of extensive reading. The activities, contributed by teachers who have used them successfully in classrooms all over the world, introduce extensive reading to students, and link it with the rest of the language curriculum. Here is a wealth of ideas for encouraging students to read, and for using students' reading experiences for further language practice and learning. These creative and enjoyable speaking, listening, role-play, reading, writing, and vocabulary activities are suitable for students of all ages and levels. Each activity is clearly explained, together with a personal note from its author. This is a handbook for teachers of general language courses, or grammar, listening, speaking, writing, or reading courses. It is written for teachers both non-native and native speaking, and for teachers both novice and experienced. It will also be of interest to teacher-educators.

Modesty

DOWNLOAD
Author : Clifton Fahie Jr
language : en
Publisher:
Release Date : 2021-07-16

Modesty written by Clifton Fahie Jr and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-16 with Drama categories.

Prepare to enter a world where a nation so great is finally tested as if jackals and lions collide. Will Valkar be a jackal or a lion?

Soft Computing For Intelligent Systems

DOWNLOAD
Author : Nikhil Marriwala
language : en
Publisher: Springer Nature
Release Date : 2021-06-22

Soft Computing For Intelligent Systems written by Nikhil Marriwala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-22 with Technology & Engineering categories.

This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS 2020), held during 18–20 December 2020 at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, Haryana, India. The book encompasses all branches of artificial intelligence, computational sciences and machine learning which is based on computation at some level such as AI-based Internet of things, sensor networks, robotics, intelligent diabetic retinopathy, intelligent cancer genes analysis using computer vision, evolutionary algorithms, fuzzy systems, medical automatic identification intelligence system and applications in agriculture, health care, smart grid and instrumentation systems. The book is helpful for educators, researchers and developers working in the area of recent advances and upcoming technologies utilizing computational sciences in signal processing, imaging, computing, instrumentation, artificial intelligence and their applications.