playgrdstar/time_series_python

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2
Language
Jupyter Notebook
License
MIT License
Created about 6 years ago
Updated over 5 years ago

playgrdstar/time_series_python

playgrdstar

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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.

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

Jupyter Notebook

monte_carlo_sim_VAR

Simple introduction to Monte Carlo simulation, applied to VAR

Jupyter Notebook

portfolio_optimisation_with_tensorflow

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

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

expected_shortfall

Quick introduction to Expected Shortfall

Jupyter Notebook

measure_marketrisk_VAR

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

Jupyter Notebook

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

d3_vs_p5

Simple scripts comparing d3 and p5

rss_ingestion

A super simple script for getting data from RSS feeds

Jupyter Notebook

twitter_sentiment

Just a super simple script for sentiment scoring of tweets.

Jupyter Notebook

separateseek_threejs

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

threejs_music

A simple primer on using music in three.js

particle_swarm_optimisation_p5

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

LSystem_threejs

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

network_garden_d3

Creating a pretty little network chart in d3.js

distributional_tests

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

Jupyter Notebook

styletransfer_x_generativeart

Combining generative art with a simple style transfer

hamp

HAMP Model for Learning Heterogeneous Networks with Multimodal and Positional Attributes

fractaltree_threejs

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

koch_threejs

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

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.

almost_simplest_server

Just a super simple script to run a simple Flask server

crossfilter_dc_demo

A simple demonstration of crossfilter.js and dc.js

summarise

A super simple script for summarising stuff

Jupyter Notebook

wikidata_kg

Jupyter Notebook

linear_algebra_portfolio_optimisation

A simple script on linear algebra and portfolio optimisation

Jupyter Notebook

twitter

A super simple script for getting data from Twitter

Jupyter Notebook

polynomial_regression

Primer on polynomial regression in Python

Jupyter Notebook

intro_numpy

A simple script to get up to speed on Numpy

Jupyter Notebook

p5_blob

p5.js code to draw organic blobs

tween_p5_fishes

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

python_data_structures

A super simple walkthrough of Python's data structures

Jupyter Notebook

gameoflife_threejs

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

factor_selection

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

Jupyter Notebook

docker_jupyter

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

generating_cleaning_datasets

Generating datasets and munging it

Jupyter Notebook

explore_data_pandas

A super simple script for exploring data in Pandas

Jupyter Notebook

get_quandl_data

Some ways of getting data from Quandl

Jupyter Notebook

docker_datalab

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

Jupyter Notebook

topic_modelling

Jupyter Notebook

CSV_2_JSON_Python

Simple script to convert CSV to JSON

Jupyter Notebook

simple_interpolation

Super Simple Primer on Interpolation

Jupyter Notebook

multi-variate_regression

Super simple introduction to multi-variate regression in Python

Jupyter Notebook

primer_linear_regression

Primer on linear regression with statsmodels and scikit-learn

Jupyter Notebook

pdf_downloads

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

Jupyter Notebook

intro_jupyternotebook

A super simple introduction to the Jupyter Notebook

Jupyter Notebook

intro_pandas

A super simple walkthrough of Pandas

Jupyter Notebook

html_scraping

Super simple script (SSS) on scraping a HTML page

Jupyter Notebook

pandas_load_viz

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

Jupyter Notebook

threejs_basics

A simple primer on three.js