Ai Dan Data Science Dengan Python Gui Studi Kasus Covid 19 Dan Stroke

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Ai Dan Data Science Dengan Python Gui Studi Kasus Covid 19 Dan Stroke

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Author : Vivian Siahaan
language : id
Publisher: BALIGE PUBLISHING
Release Date : 2021-10-08

Ai Dan Data Science Dengan Python Gui Studi Kasus Covid 19 Dan Stroke 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 2021-10-08 with Computers categories.

KASUS 1: COVID-19 Karena penyebaran COVID-19, pengembangan vaksin dituntut sesegera mungkin. Terlepas dari pentingnya analisis data dalam pengembangan vaksin, tidak banyak dataset sederhana yang dapat ditangani oleh pada analis data. Kumpulan data dan kode sampel telah dikumpulkan untuk prediksi epitop Bcell, salah satu topik penelitian utama dalam pengembangan vaksin, tersedia secara gratis. Dataset ini dikembangkan selama proses penelitian kami dan data yang terkandung di dalamnya diperoleh dari IEDB dan UniProt. Sel B yang menginduksi respon imun spesifik antigen in vivo menghasilkan sejumlah besar antibodi spesifik antigen dengan mengenali subregion (wilayah epitop) protein antigen. Sel B ini dapat menghambat fungsinya dengan mengikat antibodi ke protein antigen. Memprediksi daerah epitop bermanfaat untuk desain dan pengembangan vaksin yang bertujuan untuk menginduksi produksi antibodi spesifik antigen. Sel B inilah menjadi dataset utama yang dipakai pada proyek ini. Dataset ini memuat kolom: parent_protein_id, protein_seq, start_position, end_position, peptide_seq, chou_fasman, emini, kolaskar_tongaonkar, parker, hydrophobicity, isoelectric_point, aromacity, stability, dan target. Selanjutnya, Anda akan belajar menggunakan Scikit-Learn, Keras, TensorFlow, NumPy, Pandas, Seaborn, dan sejumlah Pustaka lain untuk memprediksi COVID-19 Epitope menggunakan dataset COVID-19/SARS B-cell Epitope Prediction yang disediakan di Kaggle. Model-model machine learning yang digunakan adalah K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, Gradient Boosting, XGB classifier, dan MLP classifier. Kemudian, Anda akan mempelajari cara menerapkan model CNN sekuensial dan VGG16 untuk mendeteksi dan memprediksi Covid-19 X-RAY menggunakan COVID-19 Xray Dataset (Train & Test Sets) yang disediakan di Kaggle. Folder itu sendiri terdiri dari dua subfolder: test dan train. Terakhir, Anda akan mengembangkan GUI menggunakan PyQt5 untuk menampilkan batas-batas keputusan tiap model, ROC, distribusi fitur, keutamaan fitur, skor validasi silang, nilai-nilai prediksi versus nilai-nilai sebenarnya, matriks confusion, rugi pelatihan, dan rugi akurasi. KASUS 2: STROKE Menurut Organisasi Kesehatan Dunia (WHO), stroke adalah penyebab kematian ke-2 secara global, yang bertanggung jawab atas sekitar 11% dari total kematian. Dataset yang digunakan pada penelitian ini berguna untuk memprediksi kemungkinan seorang pasien terkena stroke berdasarkan parameter masukan seperti jenis kelamin, usia, berbagai penyakit, dan status merokok. Setiap baris dalam data memberikan informasi yang relevan tentang pasien. Informasi tiap kolom: id: Pengenal unik; gender: "Male", "Female" atau "Other"; age: Usia pasien; hypertension: 0 jika pasien tidak memiliki hipertensi, 1 jika pasien memiliki hipertensi; heart_disease: 0 jika pasien tidak memiliki penyakit jantung, 1 jika pasien memiliki penyakit jantung; ever_married: "No" atau "Yes"; work_type: "children", "Govt_jov", "Never_worked", "Private" atau "Self-employed"; Residence_type: "Rural" atau "Urban"; avg_glucose_level: Rata-rata kadar glukosa dalam darah; bmi: body mass index; smoking_status: "formerly smoked", "never smoked", "smokes" atau "Unknown"*; stroke: 1 jika pasien mengalami stroke atau 0 jika tidak. Selanjutnya, Anda akan belajar menggunakan Scikit-Learn, Keras, TensorFlow, NumPy, Pandas, Seaborn, dan sejumlah Pustaka lain untuk menganalisa dan memprediksi stroke menggunakan dataset yang disediakan di Kaggle. Model-model yang digunakan adalah K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, Gradient Boosting, LGBM classifier, XGB classifier, MLP classifier, dan CNN 1D. Terakhir, Anda akan mengembangkan GUI menggunakan Qt Designer dan PyQt5 untuk ROC, distribusi fitur, keutamaan fitur, menampilkan batas-batas keputusan tiap model, diagram nilai-nilai prediksi versus nilai-nilai sebenarnya, matriks confusion, rugi pelatihan, rugi akurasi, kurva pembelajaran model, skalabilitas model, dan kinerja model.

Python Data Science Handbook

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Author : Jake VanderPlas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-21

Python Data Science Handbook written by Jake VanderPlas and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Computers categories.

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Statistical Design Monitoring And Analysis Of Clinical Trials

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Author : Weichung Joe Shih
language : en
Publisher: CRC Press
Release Date : 2021-10-26

Statistical Design Monitoring And Analysis Of Clinical Trials written by Weichung Joe Shih and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-26 with Medical categories.

Statistical Design, Monitoring, and Analysis of Clinical Trials, Second Edition concentrates on the biostatistics component of clinical trials. This new edition is updated throughout and includes five new chapters. Developed from the authors' courses taught to public health and medical students, residents, and fellows during the past 20 years, the text shows how biostatistics in clinical trials is an integration of many fundamental scientific principles and statistical methods. The book begins with ethical and safety principles, core trial design concepts, the principles and methods of sample size and power calculation, and analysis of covariance and stratified analysis. It then focuses on sequential designs and methods for two-stage Phase II cancer trials to Phase III group sequential trials, covering monitoring safety, futility, and efficacy. The authors also discuss the development of sample size reestimation and adaptive group sequential procedures, phase 2/3 seamless design and trials with predictive biomarkers, exploit multiple testing procedures, and explain the concept of estimand, intercurrent events, and different missing data processes, and describe how to analyze incomplete data by proper multiple imputations. This text reflects the academic research, commercial development, and public health aspects of clinical trials. It gives students and practitioners a multidisciplinary understanding of the concepts and techniques involved in designing, monitoring, and analyzing various types of trials. The book's balanced set of homework assignments and in-class exercises are appropriate for students and researchers in (bio)statistics, epidemiology, medicine, pharmacy, and public health.

Delivering E Learning

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Author : Kenneth Fee
language : en
Publisher:
Release Date : 2009

Delivering E Learning written by Kenneth Fee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with BUSINESS & ECONOMICS categories.

Education.

Clustering Algorithms

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Author : John Hartigan
language : en
Publisher:
Release Date : 1975

Clustering Algorithms written by John Hartigan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Cluster analysis categories.

Estimating The Number Of Clusters In A Dataset Via The Gap Statistic

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Author : Robert Tibshirani
language : en
Publisher:
Release Date : 2000

Estimating The Number Of Clusters In A Dataset Via The Gap Statistic written by Robert Tibshirani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.

Advancing Information Systems Theories

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Author : Nik Rushdi Hassan
language : en
Publisher: Springer Nature
Release Date : 2021-03-21

Advancing Information Systems Theories written by Nik Rushdi Hassan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-21 with Computers categories.

The information systems (IS) field represents a multidisciplinary area that links the rapidly changing technology of information (or communications and information technology, ICT) to the business and social environment. Despite the potential that the IS field has to develop its own native theories to address current issues involving ICT it has consistently borrowed theories from its “reference disciplines,” often uncritically, to legitimize its research. This volume is the first of a series intended to advance IS research beyond this form of borrowed legitimization and derivative research towards fresh and original research that naturally comes from its own theories. It is inconceivable for a field so relevant to the era of the hyper-connected society, disruptive technologies, big data, social media, "fake news" and the weaponization of information to not be brimming with its own theories. The first step in reaching the goal of developing native IS theories is to reach an agreement on the need for theory (its rationale) and its role as the most distinctive product of human intellectual activity. This volume addresses what theories are, why bother with theories and the process of theorizing itself because the process of developing theories cannot be divorced from the product of that process. It will lay out a research agenda for decades to come and will be invaluable reading for any academic in the IS field and related disciplines concerned with information, systems, technology and their management.

125 Problems In Text Algorithms

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Author : Maxime Crochemore
language : en
Publisher: Cambridge University Press
Release Date : 2021-07

125 Problems In Text Algorithms written by Maxime Crochemore 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 2021-07 with Computers categories.

Worked problems offer an interesting way to learn and practice with key concepts of string algorithms and combinatorics on words.

Modern Educational Measurement

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Author : W. James Popham
language : en
Publisher: I O X Assessment Associates
Release Date : 1990

Modern Educational Measurement written by W. James Popham and has been published by I O X Assessment Associates this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Education categories.

Adoption And Adaption In Digital Business

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Author : Keith Sherringham
language : en
Publisher: Business Expert Press
Release Date : 2021-04-06

Adoption And Adaption In Digital Business written by Keith Sherringham and has been published by Business Expert Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Business & Economics categories.

Whether it is the turnaround of a sports team to win a championship, bettering a community, remediation of business, or adoption and adaption to digital business, it is having us do things differently which brings sustainable change. This was seen throughout 2020 during the COVID-19 global pandemic. People from around the world stood up and helped each other, shared their time, goods, skills, and expertise which collectively crafted and shaped our response to COVID. Our environment was changed, capacities and capabilities implemented, behaviors emerged, and outcomes were managed. Interests and values were aligned and as empowered individuals having ownership with pride in who we are and what we do, we adopted and adapted. Knowing the issue, the importance to us, what we needed to do, and where to get help, enabled us to better ourselves and those around us. For the decisions made, we empowered and supported with variations to circumstances as required of us. This book provides the hands-on of “fixing the pipes and helping people” to capacity and capability build for the crafting and shaping of the emergent behaviors needed through our aligned interest and values with the empowered emotional ownership: “I do good work, change is coming, help me with the change, and I can do more.”