Merge pull request #177 from sathvikbhagavan/sb/cleanup_readme

docs: clean README.md and standardize similar to other SciML Repos

README.md

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 # DataInterpolations.jl
 
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 DataInterpolations.jl is a library for performing interpolations of one-dimensional data. By
 "data interpolations" we mean techniques for interpolating possibly noisy data, and thus
 some methods are mixtures of regressions with interpolations (i.e. do not hit the data
 points exactly, smoothing out the lines). This library can be used to fill in intermediate
 data points in applications like timeseries data.
 
-## Tutorial / Demonstration
-
-A tutorial is included and can be found at [this page](https://htmlpreview.github.io/?https://github.com/PumasAI/DataInterpolations.jl/blob/v2.0.0/example/DataInterpolations.html). To run the tutorial yourself
-locally, use the following Weave commands:
-
-```julia
-using Weave, DataInterpolations
-weave(joinpath(dirname(pathof(DataInterpolations)), "../example", "DataInterpolations.jmd"), out_path=:doc)
-```
-
 ## API
 
 All interpolation objects act as functions. Thus for example, using an interpolation looks like: