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100-million-rows-with-spark

Is it feasable to train a model on 100 million ratings using nothing more than a common laptop? Let's find out.

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

api-day

billion_taxi_trips

Predicting the Fare on a Billion Taxi Trips with BigQuery. How long time does it take and how much does it cost to analyse and train a model on a billion taxi trips in the cloud?

boston_housing

Just a demonstration how to use JupterLab with custom packages

cabifyriders

cancerseek

Cancer detection through a blood test (CancerSEEK) using machine learning techniques.

chartify

Python library that makes it easy for data scientists to create charts.

claimed

data-centric-ai

Resources for Data Centric AI

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

django

The Web framework for perfectionists with deadlines.

djangoforbeginners

Source code for Django For Beginners

dog-app

Live app at: https://jakobls.github.io/Dog-app/

dog_breed_app

Identify the Dog breed

exoplanets-deeplearning

Master’s Thesis. Predicting stellar parameters to detect nearby exoplanets using a deep learning approach on billions of data points.

facets

Visualizations for machine learning datasets

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

fraud-detection-handbook

Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

gitignore

A collection of useful .gitignore templates

melanoma-skin-cancer

There were around 300k newly diagnosed melanoma and one million non-melanoma skin cancer cases worldwide in 2018. The numbers are estimated to increase in the coming years. The ability to quickly and accurately check a spot on the skin has the potential to benefit millions of people. We will test the idea whether it's possible to distinguish melanoma from non-melanoma skin cancer using deep learning techniques.

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mlops-credit-risk

MLOps for deploying a Credit Risk model

mlops-on-gcp

mlops_zoomcamp

MLOps hands-on notes, notebooks and scripts of months of learning

nlp_predict_the_word

LSTM Network to Generate Text for Alice in Wonderland

nlpia

Examples and libraries for "Natural Language Processing in Action" book