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data_science_python

Source code for the "Practical Data Science in Python" tutorial

dataweek-workshop

Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.

dlab-purchasing-datasets-and-code

Files and notebooks from Alexis Perez for training in Python

doing-data-science

Solutions in R/Python for the exercises in the book Doing Data Science by Rachel Schutt and Cathy O'Neil

ds_lab_notes

euler

Python Solutions to the Project Euler Problems

gads12-nyc

General Assembly Data Science 12

gadsdc

General Assembly Data Science DC

generalassembly_datascience

A repository for my work done in General Assembly's Python for Data Science Class.

gregreda.com

hackhour

Files for each hackhour topic... fork, beer, pizza

interview_problems

Example coding interview problems found through online resources, Cracking the Code book, mentors and colleagues. An additional robust resource for example interview questions and solutions is at https://github.com/mmihaljevic/algortihms_challenges.

intro_data_science

Intro to Data Science at Columbia University

introduction-to-data-science

an introduction to Data Science using Python

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

learndatascience

Open Content for self-directed learning in data science

leetcode

LeetCode题解，151道题完整版

machine-learning

Code for Columbia's COMS W4721 Machine Learning for Data Science

machine_learning

Python coded examples and documentation of machine learning algorithms.

machinelearning

Machine Learning for Data Science at Columbia DSI

machinelearningclassification

boilerplate code, scripts, modules, data for Introduction to Machine Learning with Python

math295

Code and data for Professor James Bagrow's, Math 295 (Data Science 2) at UVM, F14

metis

metis-1

Metis Data Science NY Bootcamp

metis-coding-challenges

All my solutions to the Metis coding challenges

metis-data-science-bootcamp-prework

The prework for Metis Data Science Bootcamp

mids

UCB MIDS

mit_ocw_datascience

MIT Data Science work in Python

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"