Based on Cross-Industry Standard Process of Data Mining (CRISP-DM),The Life Expectancy Data by WHO were collected and investigated.
These questions were asked and answered:
- What are the predicting variables actually affecting the life expectancy?
- How does Infant and Adult mortality rates affect life expectancy?
- What is the impact of schooling on the lifespan of humans?
- Is their any difference between the life expectancy of Develped and Developing countries?
- Build a model to predict the Life Expectancy.
- A descreptive Colab Notebook( I have used Google Colab for the project)
- WHO Life Expectancy Data set: https://www.kaggle.com/kumarajarshi/life-expectancy-who
In this project, while working with the data set found many interesting insighets from teh data set that:
- What are the features that effect the Life Expectancy
- What is the trend of Life Expectancy in developed and developing Countries
- Build a model for predecting teh Life Expectancy
Link to my blog-> https://medium.com/@cplpu1811/life-expectancy-exploratory-data-analysis-cc59f01616c0