alice4926 Goto Github PK

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

alice4926.github.io

awesome-datascience

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

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

beyond_word2vec

Slides for my doc2vec workshop/talk

californiahousing

davissml

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

luminoth

Deep Learning toolkit for Computer Vision

ml_titanic

numpy-100

100 numpy exercises (with solutions)

oreilly-matplotlib-course

Jupyter notebooks from my O'Reilly Media course "Matplolib for Developers: Data Visualization and Analysis with Python"

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

scientific-visualization-book

❗️WIP❗️An open access book on scientific visualization using python and matplotlib

sta141b_assignment

The .ipynb files assignment for STA141B at UC Davis

sta208_spamemailclassification

Final Project for STA 208 (Machine Learning) in UC Davis

time-series-workshop