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02456-deep-learning-with-pytorch

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

accelerators

Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains

adobe_analytics_api_2.0

Python wrapper for the adobe analytics API 2.0

ai-platform-text-classifier-shap

Text classification demo from our Next '19 breakout session

air-passengers-arima

ARIMA forecasts on the AirPassengers dataset built in Python and Tableau

airflow-mlflow-aws

Cloud architecture for analytics using clouformation, airflow and mlflow

airflow_intro

Ejemplos de DAGs para ser ejecutados en Airflow (Google Cloud Composer)

algorithmic-examples

Algorithmic Marketing Models

als-recommender-pyspark

Recommender System is an information filtering tool that seeks to predict which product a user will like, and based on that, recommends a few products to the users. For example, Amazon can recommend new shopping items to buy, Netflix can recommend new movies to watch, and Google can recommend news that a user might be interested in. The two widely used approaches for building a recommender system are the content-based filtering (CBF) and collaborative filtering (CF).

american_erp

analisis_sentimiento

api-server

Modular service architecture for a jwt authenticated graphQL api

auth-graphql-starter

Starter project from a GraphQL course on Udemy.com - Section 3!

autokaggle

Automated Machine Learning (AutoML) for Kaggle Competition

awesome-data-science-models

A few end to end examples that use data-describe

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

aws-codebuild-ubuntu1604-poetry-python3.7

aws-glue-developer-guide

The open source version of the AWS Glue docs. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.

aws-machine-learning

La certificación AWS Certified Machine Learning - Specialty está destinada a personas que desempeñan funciones de desarrollo o ciencia de datos. Valida la capacidad de un candidato para diseñar, implementar, implementar y mantener soluciones de aprendizaje automático (ML) para determinados problemas comerciales.

azure-sql-data-project

A python application that is used to create instances of SQL Server instances on Microsoft Azure, and insert data into those databases.

beatles_machine_learning_data

Data for use on Machine Learning Model to predict those who will listen The Beatles based on other artists.

big-data-analytics-pipeline

Build your own Big Data Analytics Pipeline using Kafka-Spark-Cassandra. Videos ->

blockchain-nodejs

captcha-recognition-using-cnn

Automatic Captcha recognition using Convolutional Neural Networks

categoricaloutlier

Provides an anomaly score for categorical and date time data

cc-pyspark

Process Common Crawl data with Python and Spark

cdc_deltalake

Docker compose and Google Colab demo to build a CDC with Delta Lake

chatbot

This is a repository for the post : https://mlwhiz.com/blog/2019/04/15/chatbot/

chest_reconstruccion_jonap

ci-cd-for-cloud-run-gcp