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AbdulhaqIbrahimabubakar/Regression_by_ML_ZOOMCAMP

An end-to-end car price (MSRP) prediction pipeline built completely from scratch using pure NumPy and Pandas. Implements data cleaning, log transformations for long-tail distributions, custom one-hot encoding, and manual regularized linear regression (Normal Equation). Developed as part of the #MLZoomcamp curriculum.

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  1. Nov 71 post

    • Built a car price prediction pipeline from scratch using pure NumPy & Pandas for #MLZoomcamp! Tamed matrix explosions with L2 regularization (r=1.0) to hit a 0.6303 Test RMSE. Thanks @Al_Grigor !…

      Read full on X, posted by @ibabdulhaq_02

      @ibabdulhaq_02 · x.com