Tamana Naheeme's repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
cheat_sheets
This is a short set of cheat sheets for the course.
data-science-at-the-command-line
Data Science at the Command Line
datasharing
The Leek group guide to data sharing
Docker-Fundamentals
Docker Course
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
every-programmer-should-know
A collection of (mostly) technical things every software developer should know
free-programming-books
:books: Freely available programming books
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.
jupyter
Jupyter metapackage for installation, docs and chat
jupyter_contrib_nbextensions
A collection of various notebook extensions for Jupyter
machine-learning
Code & Data for Introduction to Machine Learning with Scikit-Learn
MIDS-1D-Computing-Basics
This repository contains resources for self learning skills that are required to successfully start the MIDS program
ml-in-production
Machine Learning in Production
ml-road
Machine Learning Resources, Practice and Research
official-guide
Repository for the Official Scrum@Scale Guide
pandas-workshop
An introductory workshop on pandas with notebooks and exercises for following along.
python-basics-exercises
Python Basics: A Practical Introduction to Python 3
scipy-cookbook
Scipy Cookbook
stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
statsmodels
Statsmodels: statistical modeling and econometrics in Python
XBUS-507-01.Applied_Data_Science
Materials for Georgetown Data Science certificate.