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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

120-ds-interview-questions

My Answer to 120 Data Science Interview Questions

aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

ab-framework

Notes and Python scripts for A/B or Split Testing

aioodbc

aioodbc - is a library for accessing a ODBC databases from the asyncio

algorithm-excercise

Algorithm and Data Structure. leetcode/lintcode excercise

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

amazon-quicksight-sdk-proserve

bayesab

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

berkeleyx-cs100.1x-big-data-with-apache-spark

This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX

book-warehouse

My Book

books

Learning Books

bootstrapped

Generate bootstrapped confidence intervals for A/B testing in Python.

cheat_sheets

A collection of handy cheat sheets for programming, data science, version control, statistics, and probability.

coursera-machine-learning

Coursera Machine Learning - Python code

coursera-machine-learning-1

Coursera's Machine Learning by Andrew Ng

coursera-machine-learning-stanford

Machine learning-Stanford University

coursera-ml

Machine Learning with Coursera

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

coursera-ml-regression

Machine Learning: Regression (University of Washington)

coursera-university-of-washington

University of Washington

data-engineering-interviews

Data engineering interviews Q&A for data community by data community

data-science-interview-questions-and-answers

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

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

document-api-python

Create and modify Tableau workbook and datasource files

ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

ds-ml-interview-questions

An Personal Note for DS/ML interview questions

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges