This is the code repository for Machine Learning for Healthcare Analytics Projects, published by Packt.

Build smart AI applications using neural network methodologies across the healthcare vertical market

This book covers the following exciting features:

• Explore super imaging and natural language processing (NLP) to classify DNA sequencing
• Detect cancer based on the cell information provided to the SVM
• Apply supervised learning techniques to diagnose autism spectrum disorder (ASD)
• Implement a deep learning grid and deep neural networks for detecting diabetes
• Analyze data from blood pressure, heart rate, and cholesterol level tests using neural networks
• Use ML algorithms to detect autistic disorders

If you feel this book is for you, get your copy today!

All of the code is organized into folders. For example, Chapter02.

The code will look like the following:

import sys import pandas as pd import sklearn import keras print 'Python: {}'.format(sys.version) print 'Pandas: {}'.format(pd.version) print 'Sklearn: {}'.format(sklearn.version) print 'Keras: {}'.format(keras.version)

Following is what you need for this book: Machine Learning for Healthcare Analytics Projects is for data scientists, machine learning engineers, and healthcare professionals who want to implement machine learning algorithms to build smart AI applications. Basic knowledge of Python or any programming language is expected to get the most from this book.

With the following software and hardware list you can run all code files present in the book (Chapter 1-5).

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.

• Healthcare Analytics Made Simple [Packt] [Amazon]

Eduonix Learning Solutions creates and distributes high-quality technology training content. Our team of industry professionals has been developing workforces for more than a decade. We aim to teach technology the way it is used in industry and the professional world. We have a professional team of trainers for technologies ranging from mobility, web enterprises, and database and server administration.

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