te-565 Goto Github PK

geo

Maps, Geography code snippets and probably more.

github-workshop

govuk-lda-tagger

An experiment of using the LDA machine learning algorithm to generate topics from documents and tag them with those topics

handlebars

Handlebars Examples

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.

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries accross different industries.

interactive_maps_template

A generic template for creating interactive maps in d3 and leaflet

intro2stats

Introduction to Statistics using Python

ipywidgets

IPython widgets for the Jupyter Notebook

jupyter

Jupyter metapackage for installation, docs and chat

kaggle-house-prices

My entry into the Kaggle House prices competition

kaggle-predict-sales

Repo for my code for the Predict Sales Kaggle competition here: https://www.kaggle.com/c/competitive-data-science-predict-future-sales

kaggle-titanic

My code for the Kaggle Titanic competition

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

lda-topic-model

machine-learning-yearning

Translation of <Machine Learning Yearning> by Andrew NG

mango-env

Instructions to setup a decent GCP-friendly Linux development environment in Windows

mango-test

A coding test!

metaflow

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

ml-workflow

nlp-pretrained-model

A collection of Natural language processing pre-trained models.

objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

openmlops

palmerpenguins

A great intro dataset for data exploration & visualization (alternative to iris).

pandas-hacks

Repo showing some neat packages for Pandas

pipedrive-materials

A list of resources for my friends at Pipedrive =)

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pydata-london-2016

Best bits fro PyData London 2016

python-for-analysts

A Python for Analysts Training course