deenaariff / Starly
Application that predicts the number of stars that of a Yelp Review in realtime as a reviewer types it. Runs as a microservice-based application using Node.js, Python, and Docker. Displays results from Google Natural Language API and a custom trained classification models.
☆12Updated 6 years ago
Related projects: ⓘ
- Restaurant recommendations and review text-based quality predictions☆19Updated 7 years ago
- Recurrent Neural Networks for Timeseries☆23Updated 4 years ago
- "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018☆23Updated 5 years ago
- 32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)☆20Updated 6 years ago
- My presentation at ODSC India 2018 about Deep Learning with Apache Spark☆27Updated 6 years ago
- This repo holds all the content for the Machine Learning training day☆21Updated 2 years ago
- Project template for highly effective data science workflows☆29Updated 5 months ago
- Deep Learning with Apache Spark and Deep Cognition☆58Updated 6 years ago
- Walkthrough notebooks for Deep Learning, Machine Learning, Reinforcement Learning, Spark, Statistics, Algorithms, Scala, Python☆67Updated last year
- ☆23Updated this week
- Examples of how Python can speed up tasks that are cumbersome in Excel☆13Updated 7 years ago
- ☆19Updated 3 years ago
- This is a project in python to extract named entities from the given text corpus. You can use this project directly on your text corpus (…☆11Updated 7 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆31Updated 4 years ago
- Hands-on examples showcasing popular NLP applications☆19Updated 5 years ago
- Text summarization algorithm for the Capstone Project at Springboard code bootcamp☆53Updated last year
- Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial☆22Updated 6 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆37Updated 3 years ago
- Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆43Updated 8 years ago
- Material for UW Extension Data Science 350☆19Updated 6 years ago
- ☆10Updated this week
- Creating a tunable and explainable recommendation system☆37Updated 4 years ago
- Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark☆32Updated 6 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆59Updated 4 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago
- ☆13Updated 7 years ago
- ☆22Updated last year
- Analysis of NYC Green Taxi and a model to predict the tip as a percentage of the total fare☆43Updated 7 years ago
- Follow the Lumiata Tech Blog on Medium!☆21Updated last year
- This is where all of the IPython Notebooks will be kept from the blog☆58Updated 6 years ago