jayadeepshitole

jayadeepshitole

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jayadeepshitole's repositories

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educativeio

Codes for educative.io

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test_repo

Just testing some things out!

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awesome-datascience

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

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Beyond-LeetCode-SQL

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

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ipython-books

IPython Cookbook, Second Edition (2018)

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jekyll-now

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

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TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

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christophm.github.io

My personal website

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fastai

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

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a-2017

Public Repository for cs109a, 2017 edition

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ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

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data-science-interview-questions-and-answers

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

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120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

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neuralnetworksanddeeplearning

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

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2018-cs109b

Harvard CS109b Public Repository

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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.).

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probability_cheatsheet

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

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minibook-2nd-code

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

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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/

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python-deliberate-practice

Deliberate Practice for Learning Python

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TakeHomeDataChallenges

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

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Uber-DS-Challenge

Uber provided Data Science take home

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cracking-the-data-science-interview

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

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