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2015

Public material for CS109

30-days-of-python

30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.

abtesting

Papers and Resources on running A/B Experiments

applied-ai-course

Applied ai course is a online platform to learn about data science. In this repository include assignments ,projects, coding etc. done in the course

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-r

A curated list of awesome R packages, frameworks and software.

azuremachinelearningwithdatabricks

This repository highlights the workflow and ease of use of training machine learning or deep learning models using Azure Databricks. Then deploying those models on both the AML Service and Azure Databricks.

cheatsheets

RStudio Cheat Sheets

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-19-eda-tutorial

Currently work in progress. This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.

cracking-the-data-science-interview

Cracking the Data Science Interview

d3-visualising-data

Lesson plans for teaching the basics of HTML, CSS, SVG, JSON, and JS (primarily D3.js), in order to create browser-based data visualisations.

data-science--cheat-sheet

Cheat Sheets

data-science-interviews

Data science interview questions and answers

deep-learning-book-chapter-summaries

Attempting to make the Deep Learning Book easier to understand.

econometricsslides

This is the repository for the slides used in the Seattle University Econometrics course

edacollection

a collection of different Exploratory Data Analysis Aproaches

gnomad_lrrk2

intro-html

A robot powered training repository :robot:

latex-examples-templates

A collection of LaTeX examples and templates

ldpred

machine-learning

My experiments in a machine learning field.

machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

mit-6.0002-introduction-to-computational-thinking-and-data-science

https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/index.htm

mit686x

Depository for MIT Python ML course 2020

mitx-6.00.1x-intro-to-cs-and-programming-using-python

mitx-6.00.2x-introduction-to-computational-thinking-and-data-science

ml-study-plan

The Ultimate FREE Machine Learning Study Plan