Load, analyze and visualize public health violation data to uncover interesting insights about New York Restaurants using Apache Spark, Python and Jupyter
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Updated
Oct 11, 2017 - Jupyter Notebook
Load, analyze and visualize public health violation data to uncover interesting insights about New York Restaurants using Apache Spark, Python and Jupyter
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This repository contains various Juypter-Notebook created for datascience projects.
How To Create Coin Toss Experiment
Notebooks used to demonstrate Metadata Evaluation Python module
Tutorial for developing a topic-specific autocomplete function for Jupyter notebooks based on PyTorch and Google Colaboratory.
The aim is to provide the flexibility to the users to develop their own hypotheses about climate, validate them if they are true or false and project a forecast of the same using machine learning algorithm
A configuration for a JupyterHub+DockerSpawner+CASAuthenticator server with Traefik proxy, based on docker-compose
We analyze the handwritten AND image dataset from various writers using Variational Autoencoders, Siamese Network and then pass it through a Multi-Task Learning process to get the 15 features of the images directly. This is then used to compare the handwriting of the writers
Data Analytics: Wrangling and Visualization
A collection of #MachineLearning #Python Notebooks 🤖 🐍📚 that can be launched to the ☁️ for use and experimentation. No setup needed, just launch it 🚀
This is my implementation of Navigation project from Udacity NanoDegree program (Deep Reinforcement Learning)
Web Scraping and API in Python using beautifulsoup, requests, requests-xml, etc for processing multiple APIs and scraping multple sites such as youtube, soundcloud and many more.
Run Jupyter notebooks on GPUs in Puzl cloud using Kubernetes
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