carlaint Goto Github PK

applied-machine-learning-in-python

dat8

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

dingelneiman-workathome

"How Many Jobs Can be Done at Home?" by Jonathan Dingel and Brent Neiman

flutter_ui_challenges

Flutter UI Challenges

getfivo

imf-clustering-fund-programs

code only for demo purposes

imf-ilab-data-team

data laboratory using IMF's innovation data

imf-program-ownership

Random Forest, Logistic Regression, KNN on Program Completion Rates

imf-sector-clustering

Revisiting Income-Based Country Classifications using Clustering Methods

imf-stata

All my stata files

imf-text-mining-projects

First attempt at gensim / tensorflow

imf-trade-networks

The goal is to visualize the trade networks of the world.

lmt

lame man terms blog

mj

oii_agent_based_modeling

Political Polarization in NetLogo

oii_bsg-project

oii_machine-learning

PCA, Keras, SVM, TensorFlow

oii_python_datawrangling

Wrangling exercises we did for the MSc.

oii_python_hi_performance

Comparing pure python, cython, and PySpark.

oii_statistics_of_networks

Motifs in Immigration Networks, 2004-2013

oii_thesis_brexit

Brexit Network Analysis

old-files

Archiving my past projects, completed or not.

ops

website for Oxford Philippines Society

oxthesis

LaTeX template for an Oxford University thesis

sds-python

A course in the fundamental skills for data science. Primarily python coding, web scraping and data wrangling along with some special topics in LaTeX, research ethics and research questions.

snabook

Code for "Social Networks for Startups"