* Changed the set_error_dof function in ParametricModelInference to match with the logic of Statsmodels.
Ensured correct degrees of freedom for cases with and without intercept in linear regression.
Minor changes to documentation and linting for DOF feature

* Added a new example to showcase a simple 1D linear regression

* Added new examples illustrating ML uncertainty for basis spline functions

* Converted old examples to ipynb format. Deleted corresponding .py files

* Updated requirements_dev.txt and instructions in README.md to provide up-to-date information on running examples

* Added ML uncertainty logo to README.md

* Updated version to 0.1.1

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Co-authored-by: Archit Datar <datar.10@osu.edu>