Linear Regression Jobs

How do I make a script compatible and transferable from Tradingview to Webull Script Editor. It's called a Linear Regression Channel indicator for the chart. Here is the code: //@version=5 indicator('Linear Regression ++ [Dev Lucem]', 'Lin Reg ++ [DL]', overlay=true) mtf_val = ('', 'Resolution', inline="config", group="Algorithm Config") source = (close, inline="config", group="Algorithm Config") length = (100, minval=1, inline="config1", group="Algorithm Config") dev = input(2.0, 'Deviation', inline="config1", group="Algorithm Config") offset = (0, minval=0, inline="config2", group="Algorithm Config") smoothing = (1, minval=1, inl...

I need a partner who can walk me through the full process of quantifying and explaining feature importance across several classic models—specifically Linear Regression, Decision Trees and Support Vector Machines—using Python. The goal is to compare and contrast interpretability techniques such as SHAP, LIME, PDP and ICE, then package the findings so that non-technical stakeholders can easily understand why each feature matters. What I expect from you • Well-structured, reproducible Python code (preferably in Jupyter notebooks) showing how each model is trained and how the above interpretability methods are applied. • Clear visualisations and narratives that highlight where and why the different methods agree or diverge. • At least one live session (Zoom, M...