p001-single-neuron-scratch

Binary classification by single vanilla neuron(logistic regression inspired). Neuron is implemented using python without frameworks. For detailed tutorial that I have wrote, click 📖.

File neuron_understanding.ipynb contains markdown notes for better understanding; and neuron working functions are defined within notebook. It is less polished but more intuitive for understanding neuron code.

Moving on, two synthetic datasets are used, i.e. linear and non-linear separable flower petals, in neuron_and_linear_separable_data.ipynb and neuron_and_non-linear_separable_data.ipynb notebooks, respectively. For polished code, functions used these in two notebooks are contained in file single_neuron_scratch_functions.py.