COVID-19 Outbreak Prediction

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.