te-565
Data ninja, beer drinker, do-er of stupid things and occasional data scientist, hacker and web developer.
Department of TransportLondon, UK
Pinned Repositories
apache-beam-jupyter-notebook
☄️ A simple Apache Beam pipeline running in a Jupyter Notebook
conda_container
Template for a conda project
covid-19-data
Links to various COVID-19 resources, APIs and datasets
cycle-safety
dask-presentation
Turbocharge your Data Science workflow with Dask!
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
ds-fs
Repo to hold my code for general data science and stats techniques
dsf-geo-presentation
Code and useful stuff to support my Data Science Festival presentation on 04/04/2020.
python-for-analysts
A Python for Analysts Training course
time-series-in-python-supplement
Speaker notes and additional resources for the Python Time Series course
te-565's Repositories
te-565/dsf-geo-presentation
Code and useful stuff to support my Data Science Festival presentation on 04/04/2020.
te-565/dask-presentation
Turbocharge your Data Science workflow with Dask!
te-565/conda_container
Template for a conda project
te-565/covid-19-data
Links to various COVID-19 resources, APIs and datasets
te-565/ds-resources
A place for us to store all the good learning & development resources and reference materials that we feel could benefit others.
te-565/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
te-565/pipedrive-materials
A list of resources for my friends at Pipedrive =)
te-565/titanic-mlflow
te-565/awesome-gpt3
te-565/Cookbook
The Data Engineering Cookbook
te-565/cortex
Deploy machine learning models to production
te-565/dask
Repo to hold my Dask tutorial. This is based on the offical Dask tutorial with some added explanation and some real world examples.
te-565/dask-kubernetes
Native Kubernetes integration for dask
te-565/deep_translator
A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
te-565/evidently
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
te-565/geo
Maps, Geography code snippets and probably more.
te-565/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
te-565/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
te-565/mango-env
Instructions to setup a decent GCP-friendly Linux development environment in Windows
te-565/mango-test
A coding test!
te-565/metaflow
te-565/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
te-565/ml-workflow
te-565/NLP-pretrained-model
A collection of Natural language processing pre-trained models.
te-565/OpenMLOps
te-565/palmerpenguins
A great intro dataset for data exploration & visualization (alternative to iris).
te-565/pandas-hacks
Repo showing some neat packages for Pandas
te-565/segregation
Segregation Analysis, Inference, and Decomposition
te-565/trusted-consultant-additional-material
Some further reading for the Mango trusted consultant course
te-565/WellcomeML
Repository for Machine Learning utils at the Wellcome Trust