blendo-app / EmailListChurnRateLinks
☆13Updated 7 years ago
Alternatives and similar repositories for EmailListChurnRate
Users that are interested in EmailListChurnRate are comparing it to the libraries listed below
Sorting:
- ☆13Updated 7 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
- ☆19Updated 4 years ago
- "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018☆24Updated 6 years ago
- ☆11Updated 6 years ago
- Work for Mastering Large Datasets with Python☆19Updated 2 years ago
- ☆40Updated 8 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- ☆26Updated last year
- A proof-of-concept for implementing multi-touch attribution using Markov Chains☆12Updated 6 years ago
- A tutorial to create python based prediction web app☆30Updated 5 years ago
- Blog post on ETL pipelines with Airflow☆23Updated 5 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Sample data science projects (machine learning, optimization, business intelligence)☆28Updated 6 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 4 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 7 years ago
- ☆7Updated 6 years ago
- Operations Research Algorithms☆17Updated last year
- Spark NLP for Streamlit☆15Updated 3 years ago
- How to do data science with Optimus, Spark and Python.☆19Updated 5 years ago
- A Scalable Data Cleaning Library for PySpark.☆29Updated 6 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
- ☆26Updated 7 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆36Updated 6 years ago
- Teaching materials for the text analytics course☆19Updated 6 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- ☆13Updated 6 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Code repo for Packt course I developed, "Beginning Data Wrangling with Python"☆30Updated 5 years ago
- ☆26Updated 9 years ago