1167: Update basics.md r=dhairyagandhi96 a=mipals

Removing superfluous ```using Flux```

Co-authored-by: Mikkel Paltorp Schmitt <mikkel.paltorp@gmail.com>
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@ -32,8 +32,6 @@ julia> gradient(f, [2, 1], [2, 0])
But machine learning models can have *hundreds* of parameters! To handle this, Flux lets you work with collections of parameters, via `params`. You can get the gradient of all parameters used in a program without explicitly passing them in.
```jldoctest basics
julia> using Flux
julia> x = [2, 1];
julia> y = [2, 0];