jjone36 / Cosmetic
Cosmetic Recommendation Engine
☆62Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Cosmetic
- Pair: image-based product collection recommender☆19Updated 4 years ago
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆43Updated 4 years ago
- Small tutorial on how you can use BERT for Topic Modeling☆16Updated 3 years ago
- Atlas: A Dataset and Benchmark for E-commerce Clothing Product Categorization☆74Updated 2 years ago
- Recommender System Repo☆33Updated 5 years ago
- Named Entity Recognition project, which goal is to detect brands from Ebay/Amazon product titles.☆83Updated 7 years ago
- Analysis for Customer Segmentation☆66Updated 4 years ago
- Udacity Data Science Nanodegree Capstone☆34Updated 4 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆67Updated 4 years ago
- ☆33Updated 6 years ago
- This is Yunshu's [Activision](https://www.activision.com/) internship project. We are interested in understanding user opinions about Act…☆55Updated 5 years ago
- ☆40Updated 3 years ago
- A Streamlit app to extract keywords using KeyBert☆35Updated 3 years ago
- https://kohinoor-soubam.medium.com/☆14Updated 3 years ago
- Real-time sentiment analysis on tweets using tweepy and kafka. Graphed using the output of a neural network and Dash/Plotly.☆14Updated 4 years ago
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆135Updated last year
- Final Project - Fashion Recommendation System☆34Updated 5 years ago
- Question Answering on Tabular Data with HuggingFace Transformers Pipeline & TAPAS☆24Updated 2 years ago
- ☆11Updated 3 years ago
- ☆11Updated 4 years ago
- A repository☆39Updated 4 years ago
- Analyze sephora/Amazon review to predict rating and summary review☆7Updated 3 years ago
- Propensity models make true predictions about a customer’s future behavior. With propensity models you can truly anticipate a customer's …☆17Updated 5 years ago
- Topic Modeling with Non-Negative Matrix Factorization (NMF)☆12Updated 5 years ago
- Sentiment Analysis & Topic Modeling with Amazon Reviews☆32Updated 7 years ago
- A collection of application which are built on open source technologies/frameworks like R Shiny, Plotly-Dash, Flask and Streamlit☆52Updated 2 months ago
- This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset☆63Updated 6 years ago
- Implementing A/B Tests in Python☆28Updated 4 years ago
- Kaggle Toxic Comments Challenge☆109Updated 6 years ago
- Dash app for classifying tweets in real-time☆64Updated last year