Space Apps Challenge 2017

Using machine learning we are training previous data of various parameters related to a species, we can measure extinction level and predict future abundance. We are making statistical analysis about Jabiru mycteria and trying to save it from being a family member of extinct.

We used logistic regression to make prediction and co-related temperature, air pressure, forest coverage and so on. We got data from two sources:

1.https://www.nasa.gov/topics/earth/features/climate...

2.https://www.nasa.gov/feature/goddard/2016/how-anim...

We are trying to make this model more accurate using Neural Network. Then we will be able to find out the most effective parameter and generate a solution so that we can save the species.