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Coronavirus Outbreak Prediction Using Machine Learning | Covid-19 Outbreak Prediction | Simplilearn

Coronavirus (Covid-19) has become the most buzzed topic these days. Its outbreak has taken the world by storm. In this video, we'll see what Coronavirus is, how did it emerge, and what are its symptoms. Then, we will see what has been its impact so far and analyze the outbreak of Coronavirus across various regions, visualize them using charts and graphs, and predict the number of upcoming confirmed cases using the Linear Regression model in Python. Finally, we’ll look at the various safety measures that you can take to save yourself from getting attacked by Coronavirus.

About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars. This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.

Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.

What skills will you learn from this Machine Learning course?

By the end of this Machine Learning course, you will be able to:

1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.

We recommend this Machine Learning training course for the following professionals in particular:
1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning

Learn more at

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Coronavirus Outbreak Prediction Using Machine Learning | Covid-19 Outbreak Prediction | Simplilearn

  1. 1. • What is Coronavirus? • How COVID-19 emerged? • Symptoms of Coronavirus • Global impact of Coronavirus • Coronavirus outbreak analysis • Safety precautions What’s in it for you?
  2. 2. Coronaviruses (CoV) are a large family of viruses that cause illness ranging from common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS-CoV) and Severe Acute Respiratory Syndrome (SARS-CoV) Coronaviruses are zoonotic, i.e. it can be transmitted between animals and human beings What is Coronavirus?
  3. 3. Click here to watch the video
  4. 4. COVID - 19 is the disease caused by the new coronavirus that emerged in China in December 2019. The source of coronavirus is believed to be a “wet market” in Wuhan which sold both dead and live animals including fish and birds How COVID – 19 emerged?
  5. 5. COVID-19 symptoms include cough, fever, shortness of breath, dry cough, headache, sore throat, and pneumonia. COVID-19 can be severe, and some cases have caused death Symptoms of Coronavirus
  6. 6. The novel coronavirus is now a public health emergency of international concern, killing more than 4000 people and infecting more than 100,000 people worldwide Global impact of Coronavirus
  7. 7. Total Coronavirus cases till 13th March Global impact of Coronavirus Source:
  8. 8. Total Coronavirus deaths till 13th March Global impact of Coronavirus Source:
  9. 9. Total Coronavirus recoveries till 13th March Source: Global impact of Coronavirus
  10. 10. We will analyse the outbreak of coronavirus across various regions, visualize them using charts and graphs and predict the number of upcoming cases for the next 10 days using Linear Regression and SVM model in Python Coronavirus outbreak analysis
  11. 11. • Clean your hands often • Avoid close contact • Wear a facemask • Practice respiratory hygiene • Avoid gathering in crowded places • Stay home if you’re sick • Seek medical care early if you have fever, cough and difficulty breathing Safety precautions
  12. 12. Reasons For Decline: • The language is seen to be bulky and clumsy • Work nowadays usually involves maintaining legacy applications or migrating to C# • Capabilities are limited to the Windows platform • Harsh declaration syntax and requirements, a rigid development environment and a lack of libraries VB. NET1