Tamana Naheeme's repositories

120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

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build-your-own-x

Master programming by recreating your favorite technologies from scratch.

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cheat_sheets

This is a short set of cheat sheets for the course.

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COVID19

materials for talk at Bureau of Labor Statistics

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data-science-at-the-command-line

Data Science at the Command Line

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datasharing

The Leek group guide to data sharing

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Docker-Fundamentals

Docker Course

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ds-cheatsheets

List of Data Science Cheatsheets to rule the world

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every-programmer-should-know

A collection of (mostly) technical things every software developer should know

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free-programming-books

:books: Freely available programming books

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go

The Go programming language

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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jupyter

Jupyter metapackage for installation, docs and chat

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jupyter_contrib_nbextensions

A collection of various notebook extensions for Jupyter

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machine-learning

Code & Data for Introduction to Machine Learning with Scikit-Learn

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MIDS-1D-Computing-Basics

This repository contains resources for self learning skills that are required to successfully start the MIDS program

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missingno

Missing data visualization module for Python.

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ml-in-production

Machine Learning in Production

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ml-road

Machine Learning Resources, Practice and Research

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official-guide

Repository for the Official Scrum@Scale Guide

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pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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pandas-workshop

An introductory workshop on pandas with notebooks and exercises for following along.

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python-basics-exercises

Python Basics: A Practical Introduction to Python 3

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scipy-cookbook

Scipy Cookbook

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stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

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statsmodels

Statsmodels: statistical modeling and econometrics in Python

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XBUS-507-01.Applied_Data_Science

Materials for Georgetown Data Science certificate.

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