Related Books

DATA SCIENCE WORKSHOP: Liver Disease Classification and Prediction Using Machine Learning and Deep Learning with Python GUI
Language: en
Pages: 353
Authors: Vivian Siahaan
Categories: Computers
Type: BOOK - Published: 2023-08-09 - Publisher: BALIGE PUBLISHING

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In this project, Data Science Workshop focused on Liver Disease Classification and Prediction, we embarked on a comprehensive journey through various stages of
The Applied Data Science Workshop On Medical Datasets Using Machine Learning and Deep Learning with Python GUI
Language: en
Pages: 1574
Authors: Vivian Siahaan
Categories: Computers
Type: BOOK - Published: - Publisher: BALIGE PUBLISHING

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Workshop 1: Heart Failure Analysis and Prediction Using Scikit-Learn, Keras, and TensorFlow with Python GUI Cardiovascular diseases (CVDs) are the number 1 caus
THE APPLIED DATA SCIENCE WORKSHOP: Prostate Cancer Classification and Recognition Using Machine Learning and Deep Learning with Python GUI
Language: en
Pages: 357
Authors: Vivian Siahaan
Categories: Computers
Type: BOOK - Published: 2023-07-19 - Publisher: BALIGE PUBLISHING

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The Applied Data Science Workshop on Prostate Cancer Classification and Recognition using Machine Learning and Deep Learning with Python GUI involved several st
DATA SCIENCE WORKSHOP: Chronic Kidney Disease Classification and Prediction Using Machine Learning and Deep Learning with Python GUI
Language: en
Pages: 361
Authors: Vivian Siahaan
Categories: Computers
Type: BOOK - Published: 2023-08-15 - Publisher: BALIGE PUBLISHING

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In the captivating journey of our data science workshop, we embarked on the exploration of Chronic Kidney Disease classification and prediction. Our quest began
DATA SCIENCE WORKSHOP: Parkinson Classification and Prediction Using Machine Learning and Deep Learning with Python GUI
Language: en
Pages: 373
Authors: Vivian Siahaan
Categories: Computers
Type: BOOK - Published: 2023-07-26 - Publisher: BALIGE PUBLISHING

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In this data science workshop focused on Parkinson's disease classification and prediction, we begin by exploring the dataset containing features relevant to th