Kevin Markham

scikit-learn-videos. Jupyter notebooks from the scikit-learn video series

pandas-videos. Jupyter notebook and datasets from the pandas video series

scikit-learn-tips. :robot::zap: 50 scikit-learn tips

DAT8. General Assembly's 2015 Data Science course in Washington, DC

DAT4. General Assembly's Data Science course in Washington, DC

python-reference. Python Quick Reference

DAT3. General Assembly's Data Science course in Washington, DC

pycon-2019-tutorial. Data Science Best Practices with pandas

pycon-2016-tutorial. Machine Learning with Text in scikit-learn

pycon-2018-tutorial. Using pandas for Better (and Worse) Data Science

trump-lies. Tutorial: Web scraping in Python with Beautiful Soup

DAT7. General Assembly's Data Science course in Washington, DC

DAT5. General Assembly's Data Science course in Washington, DC

dplyr-tutorial. Tutorials for the dplyr package in R

pydata-dc-2016-tutorial. Tutorial: Machine Learning with Text in scikit-learn

python-data-analysis-workshop. Workshop: Intro to Python for Data Analysis

python-data-science-workshop. Workshop: Python for Data Science

awesome-datascience. :memo: An awesome Data Science repository to learn and apply for real world problems.

kaggle-allstate. Allstate Purchase Prediction Challenge on Kaggle

kaggle-pycon-2015. Solution code from my winning submission to Kaggle's PyCon 2015 competition

machine-learning-for-software-engineers. A complete daily plan for studying to become a machine learning engineer.

Machine-Learning-Tutorials. machine learning and deep learning tutorials, articles and other resources

DataSciencePython. common data analysis and machine learning tasks using python

awesome-machine-learning. A curated list of awesome Machine Learning frameworks, libraries and software.

tidy-data. Commented R code from Hadley Wickham's "tidy data" presentation

PracticalMachineLearning. Course project for Practical Machine Learning: https://www.coursera.org/course/predmachlearn

scikit-learn. scikit-learn: machine learning in Python

DataScienceSpecialization.github.io. http://DataScienceSpecialization.github.io

data. Python related videos and metadata powering =>

coursera-getting-data. Class project for Coursera's "Getting and Cleaning Data" class

gadsdc. GA DS DC

crisp-ghost-theme. A minimalist, responsive, and open-source theme for Ghost

challenges. PyBites Code Challenges

babynames. Baby Names by Birth Year

dc-michelin-challenge. Guess the correct restaurants on DC's Michelin Guide by 10/12/16. Win $500 and an invite to the French Ambassador's residence.

ExData_Plotting1. Plotting Assignment 1 for Exploratory Data Analysis

RepData_PeerAssessment1. Peer Assessment 1 for Reproducible Research

mlbook-website. Book: Master Machine Learning with scikit-learn

ufo-reports. NUFORC geolocated and time standardized ufo reports for close to a century of data. 80,000 plus reports.

justmarkham.