Covid 19 Data Analysis


In this Covid19 Data Analysis NOtebook, we will try to explore data available from open source to identify how Covid19 is impacting happiness in a country.

Here we will use below two datasets:

  1. Covid19 dataset published by John Hopkin’s university-related to cumulative data of confirmed cases in a country.
  2. World happiness index dataset from United Nations

The key objectives of this tutorial notebook are as follows:

  1. How to Load data from a CSV file
  2. How to visualize the dataframe and each of the variables present in the dataset

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Flower Image Classification

We will see how to model a deep learning network which can classify flowers into “roses” and “daisies”. This is a toy dataset and its purpose is to introduce you to the key concepts and methodologies.

Multiple Linear Regression

The objective of this notebook is to provide core concepts of Multiple Regression analysis such as correlation and use of RFE for feature reduction

Linear Regression

Regression is a handy tool to find relationships between dependent variables and independent variables. However, we cannot always fit a regression line to any given dataset. The objective of this notebook is to provide core concepts of Linear Regression analysis.