Pinned Repositories
2014
Official content for the Fall 2014 Harvard CS109 Data Science course
2014_data
Data directory for the CS109 Data Science course
2015
Public material for CS109
amazon-redshift-utils
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
armchair
creating my own mini-NFL stats data warehouse using data from armchair analysis
ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
GettingAndCleaningProject
Getting and Cleaning Data Project
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
Springboard
Data Science Intensive Workshop
adeb09's Repositories
adeb09/2015
Public material for CS109
adeb09/amazon-redshift-utils
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
adeb09/armchair
creating my own mini-NFL stats data warehouse using data from armchair analysis
adeb09/GettingAndCleaningProject
Getting and Cleaning Data Project
adeb09/Springboard
Data Science Intensive Workshop
adeb09/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
adeb09/challenges
adeb09/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
adeb09/codecademy
Codecademy online coursework and review
adeb09/CompStats
Code for a workshop on statistical interference using computational methods in Python.
adeb09/cspath-datastructures-capstone-project
Codecademy Data Structures Intensive Capstone
adeb09/data
Data and code behind the articles and graphics at FiveThirtyEight
adeb09/data-lake-code
Code for the Data Lake Talk
adeb09/fullstack-nanodegree-vm
adeb09/healthcareai-py
Python tools for healthcare machine learning
adeb09/medical-data
adeb09/ml-videos
A collection of video resources for machine learning
adeb09/pg2dm-python
adeb09/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
adeb09/pycon-pandas-tutorial
PyCon 2015 Pandas tutorial materials
adeb09/python3_with_pleasure
A short guide on features of Python 3
adeb09/python_api_samples
Python examples of how to use the Looker API
adeb09/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
adeb09/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
adeb09/solutions
Solutions for projects.
adeb09/SQL_PLSQL
Oracle SQL / PLSQL Exercises for Understanding
adeb09/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
adeb09/stats337
Readings in applied data science
adeb09/test-repo
This is a test repo
adeb09/useful_commands
A reference for useful commands I have utilized on a day to day basis at some point in my professional career that others might find useful