Datascience:COVID-19 Pneumonia Classification(Deep learning)

person icon Priya Jha

Datascience:COVID-19 Pneumonia Classification(Deep learning)

A Practical Hands-on Data Science Guided Project on Covid-19 Pneumonia Classification through X-rays using Deep Learning

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Priya Jha

architecture icon Deep Learning,Machine Learning,Development,Data Science and AI ML


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Course Description

Would you like to learn how to Predict if someone has a Coronavirus infection through the X-ray of their lungs?

Would you like to build a Convolutional Neural Network model using Deep learning to detect Covid-19?

If the answer to any of the above questions is "YES", then this course is for you.

Enroll Now in this course and learn how to detect Coronavirus in a patient through the X-Ray reports of their lungs. This is the 

You might be wondering if it is really possible to detect Coronavirus in a patient through the X-Ray reports of their lungs. 


As we know, Coronavirus affects the lungs of the victims and causes Pneumonia especially termed as COVID Pneumonia. Through Deep learning technologies and Convolutional Neural Networks, we can analyze the X-Ray reports of lungs to the Pixel level. Without any PCR or RDT test, Coronavirus can be detected if the virus has infected the lungs of the patients through Convolutional Neural Network with approximate 98 percent accuracy.

This is a hands-on Data Science guided project on Covid-19 Pneumonia Classification. No unnecessary lectures. As our students like  to say :

"Short, sweet, to the point course"

The same techniques can be used in :

  • Skin cancer detection
  • Normal pneumonia detection
  • Brain defect analysis 
  • Retinal Image Analysis

And any other diseases that use image-based reporting, like X-ray reports.

Enroll now and You will receive a CERTIFICATE OF COMPLETION and we encourage you to add this project to your resume. At a time when the entire world is troubled by Coronavirus, this project can catapult your career to another level.

So bring your laptop and start building, training and testing the Data Science Covid 19 Convolutional Neural Network model right now.

We will be completing the following tasks:

  • Task 1: Getting Introduced to Google Colab Environment & importing necessary libraries

  • Task 2: Importing, Cloning & Exploring Dataset

  • Task :3 Data visualization (Image Visualization)

  • Task 4: Data augmentation & Normalization

  • Task 5: Building Convolutional neural network model

  • Task 6: Compiling & Training CNN Model

  • Task 7: Performance evaluation & Testing the model & saving the model for future use

So, grab a coffee, turn on your laptop, ENROLL NOW , and start learning right now. 


What will you learn in this course:

  • Get Hands-On Practice to classify COVID-19 based on X-ray images using Deep Learning

  • Learn to Build and Train Convolutional Neural Network Model

  • Make Predictive Analysis on COVID-19 through new data using CNN Model

  • Learn to Test CNN models and analyze their performances

  • Learn how to predict Coronavirus in patients through the X ray of their lungs


What are the prerequisites for this course?

  • Basic knowledge of Python and Neural Networks is recommended.
Datascience:COVID-19 Pneumonia Classification(Deep learning)


Check out the detailed breakdown of what’s inside the course

1 Lectures
  • play icon Project Overview 03:40 03:40
Introduction to the Platform
1 Lectures
Clone & Explore Dataset
2 Lectures
Data Visualization
1 Lectures
Data Augmentation & Normalization
1 Lectures
Build Convolutional Neural Network Model
1 Lectures
Compile & Train CNN Model
1 Lectures
Performance evaluation & Testing the Model
1 Lectures

Instructor Details

Priya Jha

Priya Jha

Creative Learning Solutions for the Digital Age

Hi, I am Priya Jha. I am an online instructor and a Computer Engineer. I have a community of over 40,000+ students and 60,000+ enrollments on my courses from across 166 different countries worldwide. We offer courses on Data Science (AI/ML, BigData, Data Visualization & Analysis), Android Development, Web Development, and Graphics Design. I have an academic background in Computer Science and Engineering. I love solving real-life problems using technology and my courses also rely on the same concept.

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