snehalnair / als-recommender-pysparkLinks
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 wide…
☆34Updated 4 years ago
Alternatives and similar repositories for als-recommender-pyspark
Users that are interested in als-recommender-pyspark are comparing it to the libraries listed below
Sorting:
- ☆11Updated 4 years ago
- Udacity Data Science Nanodegree Capstone☆36Updated 5 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆47Updated 7 years ago
- Customer-base segmentation over e-commerce sales data☆26Updated 5 years ago
- Building Recommender Systems with Machine Learning and AI, published by Packt☆108Updated 2 years ago
- Book Projects☆24Updated 4 years ago
- Implemented an A/B Testing solution with the help of machine learning☆51Updated 3 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- Recommender System Repo☆33Updated 6 years ago
- Implementation of Spark code in Jupyter notebook. Topics include: RDDs and DataFrame, exploratory data analysis (EDA), handling multiple …☆30Updated 4 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆45Updated 4 years ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆62Updated 2 years ago
- Notebooks for the ValleyML Bootcamp (Aug 2019) "Statistical methods for data science"☆10Updated 5 years ago
- Quick EDA on a data set to determine what segments there are.☆31Updated 6 years ago
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last year
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆75Updated 5 years ago
- Unsupervised ML: Finding Customer Segments in General Population☆16Updated 5 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…☆147Updated 2 years ago
- Analysis for Customer Segmentation☆71Updated 4 years ago
- ☆21Updated 4 years ago
- This repository explains how to predict customer churn. An Hackathon Organized by Data Science Nigeria(DSN-AI) to help Expresso predict c…☆21Updated 3 years ago
- Building simple ML apps with Streamlit☆24Updated 4 years ago
- An Interactive Approach to Understanding Unsupervised Learning Algorithms☆29Updated 4 years ago
- Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course☆30Updated 4 years ago
- Building Recommendation Systems with Python [Video], by Packt Publishing☆89Updated 2 years ago
- Unsupervised Clustering on Online Retail Dataset☆32Updated 2 weeks ago
- Code repo for Packt course I developed, "Beginning Data Wrangling with Python"☆30Updated 5 years ago
- Fraud Detection in Python, DataCamp course☆12Updated 5 years ago
- In this Complete process in machine learning is discussed and done with pyspark .☆19Updated 5 years ago
- The repository for the course in Udemy☆16Updated 5 years ago