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bert_review_classification

Using the data from SmartRev project, a BERT classification model with TensorFlow is structured and deployed to Google AI Platform.

botbuilder-samples

Welcome to the Bot Framework samples repository. Here you will find task-focused samples in C#, JavaScript and TypeScript to help you get started with the Bot Framework SDK!

collab_filtering_recom_system

A collaborative filtering model using Weighted Alternating Least Squares (WALS) algorithm for Matrix Factorization for recommending products from a specific manufacturer to a store.

credit_default

In this project, credit card defaults are recognized using a gradient boosted tree model. The pipeline is structured with Apache Beam and Airflow, and the model is constructed in Tensorflow using Estimator method.

forecasting_exercise

Repository for exploring algorithms for time-series forecasting, currently including kaggle demand forecasting challenge, using a sequence-to-sequence LSTM model.

imagecopyfinder

interactive-intro-rl

Big Data's open seminars: An Interactive Introduction to Reinforcement Learning

leetcode_challenge

LeetCode April 2020 Coding Challenge Solutions

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

neural-semi-supervised-learning-for-text-classification

Semi-supervised Learning for Sentiment Analysis

pandas_exercises

Practice your pandas skills!

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

recom_restaurant

This project recommends top 5 neighborhoods in Manhattan for opening an Italian restaurant based on Foursquare data on restaurant locations in Manhattan and NYPD's crime data. K-Means clustering is used to group Italian restaurants in all neighborhoods in Manhattan based on the density of Italian restaurants and crime rates of each respective neighborhood.

recommenders

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

smartrev

SmartRev is a web app that is designed to scrape and classify critical reviews on pet food from Chewy's website into three categories of health, quality and service, and surface the most helpful review in each category.

travis_ci_test