Pinned Repositories
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
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.
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.
MelissaKR's Repositories
MelissaKR/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.
MelissaKR/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.
MelissaKR/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.
MelissaKR/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.
MelissaKR/BERT_Review_Classification
Using the data from SmartRev project, a BERT classification model with TensorFlow is structured and deployed to Google AI Platform.
MelissaKR/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!
MelissaKR/forecasting_exercise
Repository for exploring algorithms for time-series forecasting, currently including kaggle demand forecasting challenge, using a sequence-to-sequence LSTM model.
MelissaKR/imagecopyfinder
MelissaKR/interactive-intro-rl
Big Data's open seminars: An Interactive Introduction to Reinforcement Learning
MelissaKR/Leetcode_Challenge
LeetCode April 2020 Coding Challenge Solutions
MelissaKR/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
MelissaKR/Neural-Semi-Supervised-Learning-for-Text-Classification
Semi-supervised Learning for Sentiment Analysis
MelissaKR/pandas_exercises
Practice your pandas skills!
MelissaKR/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.
MelissaKR/recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
MelissaKR/Travis_CI_test