With this project I wanted to explore the kNN in details and implement it from the very begining. kNN Algorithm. The kNN algorithm is part of the instance-based, competitive, and lazy learning ...

In this project, we perform missing data imputation in Python using 2 variants of the KNN algorithm, i.e Complete case KNN and Incomplete case KNN, using Scikit Learn, Pandas and NumPy. Pandas is used ...

For example, you might want to predict the political party affiliation (democrat, republican, independent) of a person based on their age, annual income, gender, years of education and so on. In this ...

num_threads sets the number of cpu threads to use (-1 means use default). filter filters elements by its labels, returns elements with allowed ids. Note that search with a filter works slow in python ...