ahujaya / Analyze-AB-Test-Results-PythonLinks
A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these. For this project, you will be working to understand the results of an A/B test run by an e-commerce website. Your goal is to work through this notebook to help the company understand if t…
☆11Updated 4 years ago
Alternatives and similar repositories for Analyze-AB-Test-Results-Python
Users that are interested in Analyze-AB-Test-Results-Python are comparing it to the libraries listed below
Sorting:
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆79Updated 5 years ago
- This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…☆66Updated last year
- Marketing Campaigns A/B Testing on Jupyter Notebook☆16Updated 4 years ago
- To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actu…☆21Updated 6 years ago
- Marketing Budget Optimization for Online Retailers using AI & Machine Learning.☆81Updated 5 years ago
- ☆55Updated 2 years ago
- A collection of application which are built on open source technologies/frameworks like R Shiny, Plotly-Dash, Flask and Streamlit☆54Updated 4 months ago
- Various methods for generating synthetic data for data science and ML☆80Updated 4 years ago
- Introducing a Dash web app that guides the analysis of time series datasets, using sARIMA models☆76Updated 2 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…☆156Updated 3 years ago
- Analysis for Customer Segmentation☆72Updated 5 years ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆247Updated 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
- Streamlit Application for ABC Analysis & Product Segmentation☆20Updated 9 months ago
- Iowa House Prices Kaggle (top 5%)☆15Updated last year
- Example usage of scikit-hts☆57Updated 3 years ago
- Repository for GH public projects☆18Updated last year
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆50Updated 5 years ago
- Optimize revenues through pricing algorithm in python - Demand with uniform distribution☆33Updated 5 years ago
- Slides for "Feature engineering for time series forecasting" talk☆62Updated 3 years ago
- TSForecasting: Automated Time Series Forecasting Framework☆30Updated last year
- CentOS based Docker container for Time Series Analysis and Modeling.☆22Updated 6 years ago
- customer lifetime value BG/NBD model☆17Updated 4 years ago
- Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.☆35Updated 7 years ago
- Advanced Business Analytics and Mathematics with Python (by @firmai)☆133Updated 4 years ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆302Updated last year
- Achieve your marketing goals with the data analytics power of Python☆224Updated 6 years ago
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆44Updated 4 years ago
- Automate PowerPoint Slides Creation with Python☆37Updated 3 weeks ago