ZuzooVn/machine-learning-for-software-engineers

Implements a hands-on, top-down learning methodology that prioritizes practical projects and working code before theoretical foundations—designed specifically for software engineers without formal CS degrees. The curriculum integrates diverse resources including Kaggle competitions, MOOCs, algorithm walkthroughs, and interview preparation, structured as a multi-month daily study plan with explicit time commitments. Emphasizes the "practice-learning-practice" cycle to build intuition with real datasets and libraries (scikit-learn, TensorFlow, etc.) before diving into the mathematics of linear algebra and probability that underpin ML models.

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