should have included this one too.
http://sustain.stanford.edu/predicting-poverty/

On Thu, Apr 19, 2018 at 10:21 AM, Mike Taveirne <[email protected]>
wrote:

> https://www.kaggle.com/kiva/data-science-for-good-kiva-crowdfunding
>
> https://www.kaggle.com/doyouevendata/kiva-poverty-targeting/notebook
>
> On Wednesday, April 18, 2018 at 2:45:38 PM UTC-5, Nishant Gupta wrote:
> > Hi All
> >
> > I've been a regular reader of the posts on this group. I've found this
> group to be very informative for GIS related initiatives.
> >
> > For past few weeks, I have been deliberating/researching around
> India-specific challenges that can be solved using data science and
> advanced analytics.
> > However, for most of these challenges, I don't find relevant or big
> enough data that can be used for solving it.
> >
> > data.gov.in have many but very small, summarised datasets. These are
> not good enough to create data-based solutions/products.
> >
> > I'm just getting started in this deliberation, but I feel that many on
> this forum have much more experience/knowledge on this front. Hence, I'm
> reaching out to gather some ideas.
> >
> > In your view, what are some of the most impactful challenges that India
> needs to overcome AND we have free, relevant, and granular enough data
> available to try and tackle those? Streaming/ real-time data would be even
> better!
> >
> > The second part of the question filters out a lot of use cases... but
> that's my understanding, and may very well be under-developed.
> >
> > Any thoughts around this are welcome.
> >
> > Thanks
> > Nishant Gupta
>
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