Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for ...

Learn how to implement the RMSProp optimization algorithm step by step in Python. Perfect for deep learning beginners and ...

The weighted k-NN classification algorithm has received increased attention recently for two reasons. First, by using neural autoencoding, k-NN can deal with mixed numeric and non-numeric predictor ...

As a Python library for machine learning, with deliberately limited scope, Scikit-learn is very good. It has a wide assortment of well-established algorithms, with integrated graphics.

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.