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  • Instant access to 11,000+ online courses
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  • 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

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.


 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.



You will learn:


  • How to detect Coronavirus infection using the Xray Report of the lungs of Patients

  • Classify COVID 19 based on x-ray images using deep learning

  • Learn to Build and train a Convolutional neural network

  • Make a prediction on new data using CNN Model



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.

  • Basics of python and CNN is recommended
  • Anyone who wants to learn about Deep learning
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  • Section 1 : Introduction 1 Lectures 00:03:40

    • Lecture 1 :
  • Section 2 : Introduction to the Platform 1 Lectures 00:05:44

    • Lecture 1 :
    • Introduction to the Colab Platform
  • Section 3 : Clone & Explore Dataset 2 Lectures 00:19:21

    • Lecture 1 :
    • Introduction to the structure of Dataset
    • Lecture 2 :
    • Cloning & Exploring Dataset
  • Section 4 : Data Visualization 1 Lectures 00:08:22

    • Lecture 1 :
    • Image Visualization
  • Section 5 : Data Augmentation & Normalization 1 Lectures 00:14:59

    • Lecture 1 :
    • Data Augmentation & Normalization
  • Section 6 : Build Convolutional Neural Network Model 1 Lectures 00:00:01

    • Lecture 1 :
    • Building Convolutional neural network model
  • Section 7 : Compile & Train CNN Model 1 Lectures 00:09:10

    • Lecture 1 :
    • Training the model
  • Section 8 : Performance evaluation & Testing the Model 1 Lectures 00:09:32

    • Lecture 1 :
    • Performance evaluation & Testing the Model
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Welcome to the School of the Disruptive Innovation. We are here to teach you what they don't teach you in school. We are unconventional in our ways but we promise and we over-deliver. We have a community of over 40,000+ students and 60,000+ enrollments across 166 countries. We offer courses on Data Science (Classical machine Learning, Deep learning, BigData, Data Visualization & Analysis), Android Development, Web Development, and Graphics Design.
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