Introduction to K-nearest neighbour( KNN) algorithm using sklearn. Using different distance metrics and why is it important to normalize KNN features?
Evaluating your machine learning model can be done using accuracy, recall, precision, F1-score and/or mean absolute error or mean square error.
Pandas is an open source library built on the top of NumPy that allows us to analyse and clean the data for further step to be performed upon.
The first and foremost thing you need to get started in the data science and machine learning world is to have a little bit of knowledge of Python/ R.