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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

awesome-community-detection

A curated list of community detection techniques.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

bert

TensorFlow code and pre-trained models for BERT

bptf

Bayesian Poisson tensor factorization

charikar-densest-subgraph

cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

cs224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

cs224n-1

Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020

cs224n-assignment4

cs224n-squad-project

cs224n-stanford-winter-2019

The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See，感谢所有助教！

cs224n-win18-squad

Code for the Default Final Project (SQuAD) for CS224n, Winter 2018

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

cs229

Stanford CS229 (Autumn 2017)

cs229-ml-implements

Implements of cs229(Machine Learning taught by Andrew Ng) in python.

data-science-from-scratch

code for Data Science From Scratch book

data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

data-science-interview-questions-and-answers-general-

Data Science Questions and Answers (General) for beginner

data-science-primer

A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/

data-science-tutorial

Code material for a data science tutorial

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-specialization-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning-models

A collection of various deep learning architectures, models, and tips

esl-model

Algorithm from The Elements of Statistical Learning book implement by Python 3 code