jayadeepshitole Goto Github PK

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

2018-cs109b

Harvard CS109b Public Repository

a-2017

Public Repository for cs109a, 2017 edition

awesome-datascience

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

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

beyond-leetcode-sql

Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.

christophm.github.io

My personal website

colah.github.io

cracking-the-data-science-interview

Resources for Oreilly's "Cracking the Data Science Interview" video series.

data-science-interview-questions-and-answers

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

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/

educativeio

Codes for educative.io

fastai

The fast.ai deep learning library, lessons, and tutorials

google-product-search-simple-ui

hackerearthgit

ipython-books

IPython Cookbook, Second Edition (2018)

jayadeep.github.io

jayadeepshitole.github.io

jekyll-now

Build a Jekyll blog in minutes, without touching the command line.

minibook-2nd-code

Code of the IPython Minibook, 2nd edition (2015)

neuralnetworksanddeeplearning

Codes based on Michael Nielson's online book - http://neuralnetworksanddeeplearning.com

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

python-deliberate-practice

Deliberate Practice for Learning Python

takehomedatachallenges

My solution to the book <A collection of Data Science Take-home Challenges>

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

test_repo

Just testing some things out!

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

uber-ds-challenge

Uber provided Data Science take home