Going Beyond the Intro Model

Data Science
#1

Hello,

Found Numer.ai to be quite a interesting project and would like to go beyond the Tutorial.

I have a half decent knowledge of Pandas, Numpy, Statistical techniques in Econometrics etc. but not of Machine Learning Models a la Sci - Kit Learn / Tensor Flow. What would be the logical next step for someone like myself who would like to build their own models to submit?

Thanks for your help.

GenroPen

#2

I’m sort of in the opposite boat to you, in the sense that I don’t have experience with Pandas . . . In terms of building your own models, I got into machine learning by making my own Perceptron and multi -layered perceptron . . . from there I found out about RNN, LSTM and now I’m starting to feel like I will be able to approach Numerai with at least something.

Still not going to make a serious contribution for a while probably.

Hope it helps

K

#3

Took me seven days to digest that comment - perhaps shows how slow I am [or how much work I have]
Where can I read up on the Perceptron - is [this link a good point](https://machinelearningmastery.com/implement-perceptron-algorithm-scratch-python/) - or am I jumping into the deep end by going this route?