Pinned Repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
AnatomyOfMatplotlib
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
awesome-courses
:books: List of awesome university courses for learning Computer Science!
BayesMadeSimple
Code for a tutorial on Bayesian Statistics by Allen Downey.
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.
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
COVID19
materials for talk at Bureau of Labor Statistics
intro-cli-git-github
A practical introduction to the commandline, git and github
XBUS-501-01.Software-Engineering-for-Data
Materials for Georgetown Data Science certificate.
tamanaN9's Repositories
tamanaN9/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
tamanaN9/AnatomyOfMatplotlib
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
tamanaN9/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
tamanaN9/cheat_sheets
This is a short set of cheat sheets for the course.
tamanaN9/computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
tamanaN9/COVID19
materials for talk at Bureau of Labor Statistics
tamanaN9/data-engineering-with-databricks
tamanaN9/data-science-at-the-command-line
Data Science at the Command Line
tamanaN9/datasharing
The Leek group guide to data sharing
tamanaN9/Docker-Fundamentals
Docker Course
tamanaN9/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
tamanaN9/free-programming-books
:books: Freely available programming books
tamanaN9/go
The Go programming language
tamanaN9/gtu-ml
tamanaN9/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.
tamanaN9/jupyter
Jupyter metapackage for installation, docs and chat
tamanaN9/jupyter_contrib_nbextensions
A collection of various notebook extensions for Jupyter
tamanaN9/LLM-workshop-2024
A 4-hour coding workshop to understand how LLMs are implemented and used
tamanaN9/machine-learning
Code & Data for Introduction to Machine Learning with Scikit-Learn
tamanaN9/MIDS-1D-Computing-Basics
This repository contains resources for self learning skills that are required to successfully start the MIDS program
tamanaN9/ml-in-production
Machine Learning in Production
tamanaN9/ml-road
Machine Learning Resources, Practice and Research
tamanaN9/official-guide
Repository for the Official Scrum@Scale Guide
tamanaN9/pandas-workshop
An introductory workshop on pandas with notebooks and exercises for following along.
tamanaN9/python-basics-exercises
Python Basics: A Practical Introduction to Python 3
tamanaN9/scalable-machine-learning-with-apache-spark
tamanaN9/stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
tamanaN9/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
tamanaN9/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
tamanaN9/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"