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COVID-19 Outbreak Prediction

star 4.38  Beginner level 1.5 learning hrs 9.9K+ Learners

Instructor:

Mr. Bharani Akella

COVID-19 Outbreak Prediction

star 4.38  Beginner level 1.5 learning hrs 9.9K+ Learners
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Skills you will gain

Random Forest Regressor

EDA

Seaborn

Pandas

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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.

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

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9.9K+ learners enrolled so far

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Reviewer Profile
Prof Sesha Chalam

5.0

★★★★ ★
COVID-19 Outbreak and the New Initiatives to Go Hybrid
It is awesome and exemplary, and the lesson videos and explanations are outstanding.
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Our course instructor

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Mr. Bharani Akella

Data Scientist

Data Science Expert

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4.8M+ 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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