Machine Learning in Healthcare: Practical Approach by Orange

Machine Learning in Healthcare: Practical Approach by Orange, available at $44.99, has an average rating of 4.1, with 25 lectures, based on 18 reviews, and has 81 subscribers.

You will learn about Learn the basics of machine learning without any coding! Learn from real world problems in healthcare solved by no-code machine learning Master Orange Data Mining software Learn to create your own models of multiple healthcare problems This course is ideal for individuals who are Beginner to the AI world who don't have any programming experience or People who are interested in learning real world problems in healthcare and their possible solutions It is particularly useful for Beginner to the AI world who don't have any programming experience or People who are interested in learning real world problems in healthcare and their possible solutions.

Enroll now: Machine Learning in Healthcare: Practical Approach by Orange

Summary

Title: Machine Learning in Healthcare: Practical Approach by Orange

Price: $44.99

Average Rating: 4.1

Number of Lectures: 25

Number of Published Lectures: 25

Number of Curriculum Items: 25

Number of Published Curriculum Objects: 25

Original Price: ₹1,299

Quality Status: approved

Status: Live

What You Will Learn

Learn the basics of machine learning without any coding!
Learn from real world problems in healthcare solved by no-code machine learning
Master Orange Data Mining software
Learn to create your own models of multiple healthcare problems

Who Should Attend

Beginner to the AI world who don't have any programming experience
People who are interested in learning real world problems in healthcare and their possible solutions

Target Audiences

Beginner to the AI world who don't have any programming experience
People who are interested in learning real world problems in healthcare and their possible solutions

Do you want to learn Machine Learning without writing any code?
Are you afraid of programming language but want to learn Machine Learning?
Are you a healthcare professional who wants to learn the role of Machine Learning in Healthcare?

If the answer to any of these question is Yes, then this is the course for you.

Machine Learning for Healthcare with Orange Data Mining

Welcome to an exciting journey into the world of Artificial Intelligence and Machine Learning in healthcare, led by Dr. Atul Tiwari, a seasoned medical doctor with a passion for technology. Whether you’re a healthcare professional looking to harness the power of AI or an AI enthusiast with little or no programming background, this course is tailor-made for you!

In this comprehensive Udemy course, Dr. Atul Tiwari will guide you through the fascinating realm of Machine Learning using the user-friendly Orange Data Mining Software. No complex coding required! Just bring your enthusiasm and curiosity as we delve into the groundbreaking intersection of medicine and technology.

What Will You Learn?

– Understand the fundamentals of Machine Learning and its applications in healthcare.

– Get hands-on experience with Orange Data Mining Software, a powerful tool for AI-driven insights.

– Discover real-world healthcare problems and learn how to build predictive models for diabetes using Machine Learning.

– Grasp the role of AI in healthcare decision-making and research.

Who Is This Course For?

Healthcare Professionals: Enhance your skillset by harnessing the potential of Machine Learning in solving medical challenges and improving patient care.
AI Enthusiasts: Dive into the world of AI and gain practical knowledge without needing to learn complex programming languages.
Students and Researchers: Explore the cutting-edge applications of AI in healthcare and open new possibilities for medical research.

Why Choose This Course?

– Taught by Dr. Atul Tiwari, an experienced medical doctor with a Diploma in Artificial Intelligence.

– Hands-on, practical demonstrations using Orange Data Mining Software to build predictive models for diabetes.

– Real-world examples and applications to deepen your understanding of AI in healthcare.

– Unlock the potential of Machine Learning without the need for advanced programming skills.

– Make a positive impact on patient care and medical research through the power of AI.

Are you ready to embark on this enlightening journey? Enroll now and equip yourself with the skills to harness the incredible potential of Machine Learning in the healthcare industry. Let’s revolutionize the future of medicine together!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Introduction & Steps of Machine Learning

Chapter 2: Introduction to Orange Software

Lecture 1: Download & Install Orange Software (Windows)

Lecture 2: Download & Install Orange in MacOS

Lecture 3: Overview of Orange Workflow

Chapter 3: Project – 1. Diabetes Prediction using Machine Learning

Lecture 1: Reference Article

Lecture 2: Brief Review of Reference Article & Download Dataset

Lecture 3: Load Dataset in Orange

Lecture 4: Data Preprocessing & Gain Ratio

Lecture 5: Create Machine Learning Models for Diabetes Prediction

Lecture 6: Confusion Matrix & Prediction

Lecture 7: Conclusion and Comparision of Results with Reference Article

Chapter 4: Exercise – 1. Breast Cancer Predition using FNA Features & Machine Learning

Lecture 1: Exercise – 1. Breast Cancer Predition using FNA Features & Machine Learning

Chapter 5: Project – 2. Breast Cancer Prediction from FNA features (Work-In-Progress)

Lecture 1: Breast Cancer Prediction – Brief Summary of Reference Article

Lecture 2: Workflow of Breast Cancer Prediction using Machine Learning

Lecture 3: Breast Cancer Prediction – Understanding the Dataset

Lecture 4: Breast Cancer Prediction – Data Preparation & Exploration

Lecture 5: Breast Cancer Prediction – Data Preprocessing

Lecture 6: Breast Cancer Prediction by Random Forest Without Using Feature Section

Lecture 7: Other Machine Learning Models Without Using Feature Selection

Lecture 8: Principal Component Analyis (PCA) for Breast Cancer Prediction

Chapter 6: Exercise – 2. Stroke Prediction using Machine Learning

Lecture 1: Exercise – 2. Stroke Prediction using Machine Learning

Chapter 7: Bonus Section 1 – Extra features in Orange

Lecture 1: Save & Load The Model

Chapter 8: Bonus Section 2 – MLOps (Optional)

Lecture 1: Introduction

Lecture 2: Deoply Diabetes Prediction Model as Streamlit WebApp

Instructors

Dr. Atul Tiwari
Professor, Researcher & Instructor

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 6 votes
5 stars: 9 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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