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COVID-19 Outbreak Prediction

star 4.38  Beginner level 1.5 learning hrs 10K+ Learners

Instructor:

Mr. Bharani Akella

Key Highlights

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About this course

Data Science is a magical field. With the help of Data Science, we can increase a company's market share, find customer sentiments over even understand the spread of a disease. In this course, we will be working on a covid-19 dataset and understand the spread of the disease. We will start off by building graphs for number of confirmed cases, cured cases and deaths using Seaborn library. Then, we will also analyze the spread of the virus across individual states. Finally, we will be building random forest regressor on top of the data to predict the number of confirmed cases with respect to date. Here, we will see how to build this algorithm and understand what is the efficacy of this. This course will also help you to improve your Exploratory Data Analysis skills as we will be extracting and working with a lot of individual records and variables from the given dataset.

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Course outline

Agenda

What is Machine Learning?

This module begins by defining machine learning. It then discusses how a machine understands the tasks with examples and explains supervised and unsupervised learning concepts in machine learning. 

Categories of Machine Learning

This module focuses on sentiment analysis by helping you understand the sentiment associated with data. You will go through a hands-on example of implementing a logistic regression algorithm to analyze sentiment analysis using Python. 
 

Unsupervised Learning

Unsupervised learning is a known machine learning method in which algorithms are not given pre-assigned labels to train the data. It self-discovers naturally occurring patterns in training the data sets. 

Linear Regression

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COVID-19 Outbreak Prediction

rating icon 4.38

1.5 Hours

Beginner

10K+ learners enrolled so far

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Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

Learner reviews of the Free Courses

4.38
69%
15%
10%
2%
4%
Reviewer Profile

5.0

United Arab Emirates
“In the "COVID-19 Outbreak Prediction" project, I learned to preprocess data, apply machine learning models, and enhance predictions with feature engineering.”
What I liked most about the "COVID-19 Outbreak Prediction" project was the opportunity to work on a real-world problem with immediate global relevance. I enjoyed the challenge of cleaning and analyzing large, complex datasets and applying machine learning techniques to make meaningful predictions. It was rewarding to see how incorporating external data, such as mobility trends, could significantly improve the model’s accuracy and provide actionable insights for public health planning.
Reviewer Profile

5.0

Singapore
“The lessons are instructive and easy to follow”
Even without prior knowledge and experience in this area, I can still follow the lessons.
Reviewer Profile

4.0

India
“"This course provided hands-on experience with real-world projects,”
"This course provided hands-on experience with real-world projects, reinforcing concepts like data preprocessing, analysis, and visualization. It bridged the gap between theoretical knowledge and practical application, making it invaluable for building confidence and preparing for real-world challenges in data science."
Reviewer Profile
MUHAMMAD MOAIZ

5.0

“i have confusion in concept here i get cleared”
amazing course i got the basic concepts and the prediction was very useful
Reviewer Profile

5.0

India
“COVID-19 Outbreak and the New Initiatives to Go Hybrid”
It is awesome and exemplary, and the lesson videos and explanations are outstanding.
Reviewer Profile

5.0

India
“COVID 19 Outbreaj Predictions Course”
COVID Outbreak Predictions Course is a good use case for public awareness

Our course instructor

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Mr. Bharani Akella

Data Scientist

Data Science Expert

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5M+ Learners
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125 Courses
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

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