Inspiration
Improving the prediction on a bet or auction using data science is always a wow factor for me and motivates me to work on these projects, this challenge is the one that I wanted
What it does
Predict a final value of a stock through various parameters given which include time as well
How we built it
Using an Artificial neural network with PyTorch framework
Challenges we ran into
Finding the best algo, Knn also worked but neural network is flexible
Accomplishments that we're proud of
In small time we came up with good optimum result
What we learned
A lot more about AI
What's next for Safe Riskfuel
Working with more data with high computations
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