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consumerjourney

datacamp-community-tutorials

Tutorials for DataCamp (www.datacamp.com)

datasciencecoursera

proect

datasharing

The Leek group guide to data sharing

deeplearning

These Exercises are based on the Deep Learning Specialization Course on Coursera by Andrew Ng

docker-react

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

flutter-course-resources

germancreditdataexploration

Python, R and Shiny

git-real

learning

langchain_flask_azurefunction

Template code to deploy langchain openai application with Flask on Azure Function

lendingclubloandata

For this project, I am going to explore a loan data from Lending Club. My goal will be to predict good loan and bad loan based on features given in the data. I will be using R for visual exploration of the data and eventually fitting multiple machine learning models to get a prediction. Specifically I will be using example-dependent cost-sensitive classification machine learning algorithms to predict an outcome with higher cost for wrong predictions.

mlops-on-gcp

multi-container-aws-deploy

multi-docker

multi-k8s

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

project-template

A logical, reasonably standardized, but flexible tasks as containers project structure for doing, sharing and deploying data science work. Based on:

recipe-app-api

Recipe app api source code

reproducible

samsung_data_cleaning

space-finder-backend

spoon-knife

This repo is for demonstration purposes only.

tac-example

Example project using Tasks as Containers architecture

tensorflow-wide-deep-local-prediction

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

test-git

first repo testing

testing

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).