World Child Mortality Rate Data Visualization And Prediction

• 

  Image 1

• 

  Image 2

• 

  Image 3

• 

  Image 4

• 

  Image 7

• 

  Image 5

• 

  Image 6

Inspiration- The inspiration for the project came from the significant child mortality rate of the world and specially in African regions where the child mortality rate is one of the highest in the world.The project will help to visualize and predict the child mortality rate and take major steps to decrease the child mortality rate.

What it does-The project helps to predict the child mortality rate of the world and visualize the data using machine learning. It will be helpful in the field of healthcare and pediatric care.

How we built it-The project was built by using the concept of python and machine learning.

Challenges we ran into-One of the major challenges were collecting the suitable dataset for this project from a trustworthy source, implementation of our ideas correctly and choosing the right algorithm for the model for achieving the highest accuracy possible for the machine learning model. We have to test the model multiple times using multiple algorithms before finalizing the final model.

Accomplishments that we're proud of- We are proud the we were able to achieve our initial goal and build a model that can help the healthcare system and the society towards its betterment.

What we learned-We have learned many new concepts and ways in which we can improve our model and make some more models with better use of machine learning for the betterment of society.

What's next for World Child Mortality Rate Data Visualization And Prediction-We are planning to update the model to take real time data and predict the mortality rate based on that and simultaneously giving a vivid and precise Visualization of the data.

Built With

• jupyter
• machine-learning
• python