Pinned Repositories
calibre
The official source code repository for the calibre ebook manager
nyc-citibike-data
NYC Citi Bike system data and analysis
Portfolio_Academic
Portfolio containing code and deliverables for academic-y positions
WB_Elections
Scripts for Scraping and Analysis
pjpaulpj's Repositories
pjpaulpj/calibre
The official source code repository for the calibre ebook manager
pjpaulpj/WB_Elections
Scripts for Scraping and Analysis
pjpaulpj/Portfolio_Academic
Portfolio containing code and deliverables for academic-y positions
pjpaulpj/1806
18.06 course at MIT
pjpaulpj/Advent_of_Code_2018
Files for Advent of Code 2018
pjpaulpj/broom
Convert statistical analysis objects from R into tidy format
pjpaulpj/cbse_schools_data
Cleaned, scraped data of all 20,367 CBSE schools, primarily in India, in 2018. Data scraped from: cbseaff.nic.in/cbse_aff/schdir_Report/userview.aspx
pjpaulpj/CrumpLab.github.io
Lab Website
pjpaulpj/data
Data sets created for stories on The Pudding, open to the public.
pjpaulpj/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
pjpaulpj/ebola
Data for the 2014 ebola outbeak in West Africa
pjpaulpj/example-code
Example code for the book Fluent Python
pjpaulpj/fso_2020
Material for Full Stack Open, 2020
pjpaulpj/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
pjpaulpj/iemargins
Module for graphing margins after treatment effects
pjpaulpj/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
pjpaulpj/machine_learning_basics
Plain python implementations of basic machine learning algorithms
pjpaulpj/mds
Modern Data Science
pjpaulpj/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
pjpaulpj/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.
pjpaulpj/nyc-taxi-data
Import public NYC taxi and Uber trip data into PostgreSQL / PostGIS database, analyze with R
pjpaulpj/pjpaul_writes
Personal blog
pjpaulpj/PyCon2018_GISTutorial
pjpaulpj/python-for-data-analysis
An introduction to data science using Python and Pandas.
pjpaulpj/Python-roadmap
pjpaulpj/pytudes
Python programs to practice or demonstrate skills.
pjpaulpj/qgis-training
Open-source classes on open-source mapping with QGIS and PostGIS.
pjpaulpj/sb2nov.github.io
Sourabh's portfolio
pjpaulpj/Spatial_Analysis_in_R_with_Open_Geodata
Spatial Analysis in R with Open Geodata (Tutorial)
pjpaulpj/viirs_ba
Python code for burned area estimation using VIIRS scenes.