When using deep convolutional neural networks (CNNs) for image classification tasks, it’s common to apply several transformations to the images in order to augment the data and reduce overfitting. For example, images are often randomly cropped, mirrored, ... (more…)

cracking-the-da-vinci-code-with-google-interview-problems-and-nlp-in-python - A guide on how to crack combinatorics puzzles shown in The Da Vinci Code movie using CS fundamentals and NLP... (more…)

zip takes n number of iterables and returns list of tuples. ith element of the tuple is created using the ith element from each of the… (more…)

Imports-in-Python - :snake: A guide on how importing works in Python. (more…)

DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explicit and data structures transparent. It works in perfect harmony with parallelisation mechanism such as multiprocessing and SC... (more…)