A wholesale distributor recently tested a change to their delivery method for some customers, by moving from a morning delivery service five days a week to a cheaper evening delivery service three days a week. Initial testing did not discover any significant unsatisfactory results, so they implemented the cheaper option for all customers. Almost immediately, the distributor began getting complaints about the delivery service change and customers were canceling deliveries, losing the distributor more money than what was being saved. You've been hired by the wholesale distributor to find what types of customers they have to help them make better, more informed business decisions in the future. Your task is to use unsupervised learning techniques to see if any similarities exist between customers, and how to best segment customers into distinct categories.

deep-learning-coursera

deep_learning_by_andrew_ng_coursera

deep learning specialization by andrew ng though deeplearning.ai on coursera

deepface

dog-breed-classofiication

CNN to classify the dog breeds

eager-initialization-sengleton

it's a small example of eager intitialization sengleton design pattern which for getting instance without calling the constructor.

face-recognizer-android

Reatime Face Recognizer on Android

finding_donors

This project is designed to get you acquainted with the many techniques for training, testing, evaluating, and optimizing models, available in sklearn.

finger_counter

Counting the raised fingers with mediapipe by opining your camera

getting-to-philosophy

The program receives a Wikipedia link as an input, go to another normal link and repeat this process until either Philosophy page is reached, or we are in an article without any outgoing Wikilinks, or stuck in a loop .