miller-tamil / research_on_email_marketting
Research work on how to create a Email Marketing subject line to produce maximum open rate
☆10Updated 9 years ago
Alternatives and similar repositories for research_on_email_marketting:
Users that are interested in research_on_email_marketting are comparing it to the libraries listed below
- Spark + Python for Maketing Analytics☆10Updated 7 years ago
- Customer analytics has been one of hottest buzzwords for years. Few years back it was only marketing department’s monopoly carried out wi…☆24Updated 6 years ago
- Model to accurately forecast inventory demand based on historical sales data.☆60Updated 8 years ago
- A curated list of awesome customer analytics content☆95Updated 7 years ago
- ☆16Updated 7 years ago
- ☆20Updated 9 years ago
- Extracting LinkedIn comments from any post and export it to Excel file☆23Updated 6 years ago
- Few tutorials on pandas, matplotlib and seaborn☆26Updated 8 years ago
- A tutorial for basic data analysis with Pandas and Python. Designed to help people move from Excel to Pandas. Uses an SEO example.☆17Updated 6 years ago
- Analyzing and calculating key marketing metrics with SQL and Python☆14Updated 6 years ago
- A machine learning project trying to predict whether or not a Kickstarter campaign succeeds. Final report in PDF as well. Includes origin…☆12Updated 6 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
- E-Commerce Website A/B testing: Recommend which of two landing pages to keep based on A/B testing☆23Updated 7 years ago
- Google Trends + Python + Google Sheets API + Tableau Public = Full Automation☆31Updated 6 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
- A selection of business datasets☆18Updated 5 years ago
- ☆26Updated 5 years ago
- Minimum Entropy is a DDL hosted question/answer site for beginners who need answers to Data Science questions.☆17Updated 8 years ago
- ☆12Updated last year
- Achieve your marketing goals with the data analytics power of Python☆12Updated 5 years ago
- Collection of presentation of my work on various platforms and meetups☆22Updated 6 years ago
- A Scalable Data Cleaning Library for PySpark.☆27Updated 5 years ago
- A look at regulatory challenges and recommendation in the age of AI. Investigating topics like monopoly formation, machine learning audit…☆13Updated 5 years ago
- Source code for my blog post about "How to predict the success of your marketing campaign"☆43Updated 8 months ago
- A practical guide to topic mining and interactive visualizations☆75Updated 6 years ago
- Codes related to Lord of the Machines hackathon☆10Updated 6 years ago
- Machine Learning based model to predict Insurance Pure Premium☆12Updated 8 years ago
- ☆26Updated 9 years ago
- A tutorial to create python based prediction web app☆30Updated 4 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆36Updated 5 years ago