What are the fees for Diabetes Prediction With Pyspark MLLIB?

Tuition: USD 49 per year. Application fee: USD 0. Service fee: USD 0.

Is Diabetes Prediction With Pyspark MLLIB available online?

Yes, this program is available online.

Diabetes Prediction With Pyspark MLLIB

New York, United States

The Non-degree in Diabetes Prediction With Pyspark MLLIB at Coursera Project Network is a program for international students taught in English.

Introduction

The Coursera Project Network is a unique initiative within Coursera, a leading online learning platform founded in 2012. It is not a university, but rather a public, open-access platform that facilitates the creation and delivery of hands-on projects by experts and educators. The Coursera Project Network is distinguished by its focus on practical, project-based learning, enabling learners to apply their skills in real-world scenarios. This approach allows individuals to gain tangible, job-ready skills quickly and efficiently.

About the Program

In this 1 hour long project-based course, you will learn to build a logistic regression model using Pyspark MLLIB to classify patients as either diabetic or non-diabetic. We will use the popular Pima Indian Diabetes data set. Our goal is to use a simple logistic regression classifier from the pyspark Machine learning library for diabetes classification. We will be carrying out the entire project on the Google Colab environment with the installation of Pyspark.You will need a free Gmail account to complete this project. Please be aware of the fact that the dataset and the model in this project, can not be used in the real-life. We are only using this data for the educational purpose. By the end of this project, you will be able to build the logistic regression classifier using Pyspark MLlib to classify between the diabetic and nondiabetic patients.You will also be able to setup and work with Pyspark on Google colab environment. Additionally, you will also be able to clean and prepare data for analysis. You should be familiar with the Python Programming language and you should have a theoretical understanding of the Logistic Regression algorithm. You will need a free Gmail account to complete this project. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

About the University

The Coursera Project Network offers a wide range of guided projects across various domains, including business, technology, data science, and more. These projects are designed to be completed in a short time frame, typically a few hours, providing learners with a quick and immersive learning experience. Through step-by-step instructions and hands-on practice, participants can build confidence in their abilities and directly apply what they learn to their personal or professional pursuits. The Coursera Project Network empowers learners to bridge the gap between theoretical knowledge and practical application, making it a valuable resource for skill development and career advancement.

Fees

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Application Fee: 0 USD
Tuition Fee: 49

Entry Requirements

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All students from all countries are eligible to apply to this program.

Admissions Process

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Step 1 Choose programs
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Step 3 Enroll

Preparing documents

You can start your application now and send the application documents during your application. Some documents you can send later if you don’t have them right away. See document and eligibility requirements

Required documents

• Curriculum Vitae

• English Language Certificate

• Personal Statement

• Your Highest Academic Transcript (in English)

• Your Photograph

• Your Graduation Certificate (in English)

• Your Passport Copy

Application process

• Applying Online is simple in just a few steps. Learn more about the application process

• The first steps are to choose the programs, pay the application fee and upload the application documents.

• Once submitted to Global Admissions, we will review your application within 2-3 days and proceed to the university or ask you for further clarification

• After it has been processed to the university you will receive your unique application ID from each university.

• The university may contact you directly for further questions.

• We will then follow up each week with the university for updates. As soon as there is any update we will let you know. If you have made other plans, decide to withdraw / change address at any time please let us know.

• After you have been accepted you will receive your admissions letter electronically and asked to pay the non-refundable deposit to the university.

• Once you have paid the deposit the university will issue you the admissions letter and visa form to your home country.

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Diabetes Prediction With Pyspark MLLIB

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