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ab-testing

A/B Testing — A complete guide to statistical testing

ab_testing

Implementing A/B Tests in Python

ab_testing_final_project_udacity

This is a A/B test project from Udacity.

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

andrew_ng_coursera-deep-learning-specialization

Coursera Deep Learning specialization offered by deeplearning

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

bachelor-thesis-machine-learning-applications-in-facilitating-digitalized-supply-chain-management-s

blood-supply-chain-management-using-machine-learning

capital-iq-webscraping

A series of Jupyter Notebooks that demonstrate how to scrape data from the S&P Capital IQ Website, provided that you already have access to the website. Can be used in lieu of an API.

classiccomputerscienceproblemsinpython

Source Code for the Book Classic Computer Science Problems in Python

coding_ds

This reprositry contain all the codes of Udacity programming for data science course

course-nlp

A Code-First Introduction to NLP course

coursera-machine-learning

Coursera Machine Learning - Python code

coursera-machine-learning-solutions-python

A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera

coursera-machine-learning-stanford

Machine learning-Stanford University

daily-coding-problem

Series of the problem 💯 and solution ✅ asked by Daily Coding problem👨‍🎓 website.

dailycodingproblem

Daily Coding Problem solutions

data-lake-with-spark

Udacity Data Engineering Nanodegree Project

data-structures-and-algorithms-in-python

[My Solutions] Data Structures and Algorithms in Python (Michael T. Goodrich)

data_structures_and_algorithms_in_python

:book: Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️

datasetsjasonbrownie

Machine learning datasets used in tutorials on MachineLearningMastery.com

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-learning-coursera-1b

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep_learning_in_python_2018

Deep Learning workshop including image classification, face recognition, Object detection, language modelling, image captioning and neural machine translation.

deeplearning-image

Introduction to Deep Learning for Image Recognition

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

deepunderstandingofdeeplearning

Python code accompanying the course "A deep understanding of deep learning (with Python intro)"