lchen23's Stars
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
grahamjenson/list_of_recommender_systems
A List of Recommender Systems and Resources
TomAugspurger/effective-pandas
Source code for my collection of articles on using pandas.
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
christophM/interpretable-ml-book
Book about interpretable machine learning
xiaqunfeng/machine-learning-yearning
Translation of <Machine Learning Yearning> by Andrew NG
jayinai/ml-interview
Preparing for machine learning interviews
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
ryanbae89/DataScienceExercises
Various data science/machine learning exercises to showcase my work.
fernanhid/AB-Test_Language-Translation
Analyzing the Results of an A:B test/ Building a Model to Find Bias in Test Samples
iphysresearch/DataSciComp
A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.
lnsmith54/exploring-loss
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
checkcheckzz/system-design-interview
System design interview for IT companies
JonathanJohann/Independent_Research
Welcome to my independent research repository!
bjherger/Uber-DS-Challenge
Uber provided Data Science take home
alessiamarcolini/deep-learning_best-practices
reshamas/fastai_deeplearn_part1
Notes for Fastai Deep Learning Course
stasi009/TakeHomeDataChallenges
My solution to the book <A collection of Data Science Take-home Challenges>
fastai/fastai
The fastai deep learning library
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
jbwhit/jupyter-tips-and-tricks
Using Project Jupyter for data science.
berkeley-scf/r-bootcamp-2017
Statistics/D-Lab R bootcamp at UC Berkeley, August 2017
VowpalWabbit/vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
datacarpentry/sql-ecology-lesson
Data Management with SQL for Ecologists
k8hertweck/2017-08-07-LBNL
Data Carpentry genomics workshop at LBNL
kerasking/book-1
book
sherrym/tf-tutorial
Short tutorial for TensorFlow, designed to be presented in-person
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5