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End-to-end HR Analytics project using Excel, SQL, Python, Machine Learning, and Power BI to analyze employee attrition, build predictive models, and deliver interactive dashboards with actionable business insights
A complete implementation of the well-known "12 Steps to Navier–Stokes" learning series in Python. Beginning with one-dimensional linear convection and progressing to the two-dimensional incompressible Navier–Stokes equations, this project builds a strong foundation in computational fluid dynamics and numerical methods.
🌴Automating agricultural grading using PyTorch. An end-to-end Feedforward Neural Network (FNN) classifying 7 date fruit varieties with 95.56% test accuracy using image-extracted morphological, color, and wavelet texture features. Implements validation-loss checkpointing.