Ming | Gary Ang

natureofcode_threejs. Nature of Code Processing Examples Ported to three.js

posenet_threejs. Using the pre-trained tensorflow.js Posenet model with three.js

financial_data_viz. Computing some financial measures and visualising them in Pandas

monte_carlo_sim_VAR. Simple introduction to Monte Carlo simulation, applied to VAR

expected_shortfall. Quick introduction to Expected Shortfall

portfolio_optimisation_with_tensorflow. Using Javascript and Tensorflow.js to build a portfolio optimiser with constraints.

measure_marketrisk_VAR. Simple introduction to VAR, one of the most commonly used measures of market risk

geneticalgorithm_threejs. Port of Daniel Shiffman's Nature of Code to three.js - 3 dimensional genetic algorithm in three.js

primer_pythonblender. Primer on Generative Art in Blender

machine_learning_methods_collection_javascript. A collection of machine learning methods implemented in Javascript

lorenz_threejs. An experiment with the lorenz equation in three.js

fractaltree_threejs. Port of Daniel Shiffman's Nature of Code to three.js - 3 dimensional fractal trees in three.js

d3_vs_p5. Simple scripts comparing d3 and p5

koch_threejs. Port of Daniel Shiffman's Nature of Code to three.js - 3 dimensional Koch fractal in three.js

twitter_sentiment. Just a super simple script for sentiment scoring of tweets.

rss_ingestion. A super simple script for getting data from RSS feeds

distributional_tests. Simple introduction on how to check the shapes of distributions and why it matters

log_regression_scratch. Using just Javascript without any machine learning libraries to build a logistic regression model, and visualising the data generation, training and prediction process straight in the client/browser.

particle_swarm_optimisation_p5. Using Javascript to visualise how a particle swarm optimiser searches for the local minimum.

network_garden_d3. Creating a pretty little network chart in d3.js

hamp. HAMP Model for Learning Heterogeneous Networks with Multimodal and Positional Attributes

time_series_python. Time series analysis is essential when looking at financial data. Time series analysis simply means analysing data that changes over time. While we can apply many of the same techniques that we use to analyse other data-types to time series data, there are some other concepts and techniques that we need to learn.

threejs_music. A simple primer on using music in three.js

separateseek_threejs. Port of Daniel Shiffman's Nature of Code to three.js - 3 dimensional path separate and seek three.js

LSystem_threejs. Port of Daniel Shiffman's Nature of Code to three.js - 3 dimensional L system fractal in three.js

styletransfer_x_generativeart. Combining generative art with a simple style transfer

almost_simplest_server. Just a super simple script to run a simple Flask server

gameoflife_threejs. Port of Daniel Shiffman's Nature of Code to three.js - 3 dimensional game of life in three.js

polynomial_regression. Primer on polynomial regression in Python

intro_pandas. A super simple walkthrough of Pandas

explore_data_pandas. A super simple script for exploring data in Pandas

topic_modelling. Jupyter Notebook

tween_p5_fishes. Mashing up p5.js and GSAP to tween fishes in a pond.

threejs_basics. A simple primer on three.js

intro_numpy. A simple script to get up to speed on Numpy

intro_jupyternotebook. A super simple introduction to the Jupyter Notebook

p5_blob. p5.js code to draw organic blobs

pandas_load_viz. A super simple script on how to load and visualise data in Pandas

summarise. A super simple script for summarising stuff

docker_datalab. Using Docker to create a data lab that can be served from AWS

simple_interpolation. Super Simple Primer on Interpolation

get_quandl_data. Some ways of getting data from Quandl

generating_cleaning_datasets. Generating datasets and munging it

primer_linear_regression. Primer on linear regression with statsmodels and scikit-learn

docker_jupyter. Script to install Docker and use it to serve a Jupyter notebook from AWS

fluid_threejs. Nature of Code port to three.js - 3 dimensional movement fluid resistance in three.js

multi-variate_regression. Super simple introduction to multi-variate regression in Python

python_data_structures. A super simple walkthrough of Python's data structures

factor_selection. Why we need to be judicious in selecting factors when building models, and one way of doing so.

The-Nature-of-Code-Examples. Repository for example code from The Nature of Code book

linear_algebra_portfolio_optimisation. A simple script on linear algebra and portfolio optimisation

pdf_downloads. Just a super simple script to automate the downloading of PDFs from a webpage.