Fitted a multivariate regression model on a brand’s product Sales Volume and the availabe marketing time series data to (i.e. Advertising, Distribution, Pricing) to estimate the impact of various marketing tactics on sales and then forecast the impact of future sets of tactics.
☆39May 18, 2018Updated 7 years ago
Alternatives and similar repositories for Marketing_Mixed_Modelling_Analysis
Users that are interested in Marketing_Mixed_Modelling_Analysis are comparing it to the libraries listed below
Sorting:
- ☆26Mar 1, 2016Updated 10 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆44Apr 6, 2021Updated 4 years ago
- Optimized marketing mix- effective promotion channels and price for different product types, for car industry using regression model☆21Jan 16, 2020Updated 6 years ago
- ☆10Dec 21, 2020Updated 5 years ago
- Open source marketing mix modeling code for vexpower.com☆46Jun 25, 2021Updated 4 years ago
- Learn Bayesian Regression on simulated dataset☆10Apr 25, 2018Updated 7 years ago
- FT style charts, axes, scales etc☆12Sep 27, 2017Updated 8 years ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆308Oct 31, 2024Updated last year
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆256Apr 26, 2020Updated 5 years ago
- Marketing Mix Modeling Data Generator☆45Dec 27, 2021Updated 4 years ago
- This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attrib…☆28Feb 22, 2018Updated 8 years ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆399May 28, 2022Updated 3 years ago
- This is a read-only mirror of the CRAN R package repository. ChannelAttribution — Markov Model for Online Multi-Channel Attribution. Ho…☆24Nov 19, 2025Updated 3 months ago
- MANOVA.RM☆11Feb 7, 2025Updated last year
- featselector是一个基于统计分析和模型选择的特征选择器.☆14Mar 4, 2019Updated 6 years ago
- A Python function for bootstrapping☆10Nov 5, 2019Updated 6 years ago
- Data Explorer Tool☆15Feb 4, 2020Updated 6 years ago
- ☆12Apr 10, 2018Updated 7 years ago
- A machine learning project to fit consumer's web-browsing and advertising impression data to a top-secret Hidden Markov Model☆36Aug 16, 2013Updated 12 years ago
- ☆11Updated this week
- ☆24May 13, 2025Updated 9 months ago
- A python class to extract current and historical data from famous Yahoo Finance API☆12Feb 28, 2019Updated 7 years ago
- Big Data Inventory Management on AWS (Demand Forecasting, Machine Learning, Dashboarding) : Presented at Carlson School of Management dur…☆11Apr 15, 2020Updated 5 years ago
- This repository contains python code to create, backtest and automate intraday-trading algorithms in financial markets using Machine Lear…☆10Sep 30, 2021Updated 4 years ago
- ☆12Jan 25, 2018Updated 8 years ago
- This repository contains example patterns for storing large objects with DynamoDB.☆13Jun 19, 2024Updated last year
- Information-oriented Metric (IOM)☆11Sep 2, 2020Updated 5 years ago
- Causal Impact of an intervention integrated with control group selection☆10Sep 11, 2022Updated 3 years ago
- Alteryx Macros from www.ChaosReignsWithin.com☆14Jan 29, 2026Updated last month
- From the medium article about Customer Retention☆11Nov 20, 2019Updated 6 years ago
- Script(s) to pull Adobe Analytics data (for now) and take advantage of the "forecast" (Holt Winters-based) data provided by the Adobe Ana…☆11Jan 1, 2017Updated 9 years ago
- ☆14Feb 20, 2023Updated 3 years ago
- Python script (and IPython notebook) to perform RFM analysis from customer purchase history data☆11Jun 2, 2016Updated 9 years ago
- A few simple custom adwords scripts☆12Nov 16, 2014Updated 11 years ago
- A node.js application capable of monitoring multiple servers over ssh e.g. memory, cpu usage, swap usage, disk space. logs, processes☆13Jan 28, 2017Updated 9 years ago
- python interface to bnlearn and other probabilistic graphical model libraries☆10Mar 26, 2020Updated 5 years ago
- Time series forecasting for common inflators and economic indices using the forecast package in R.☆10Feb 28, 2017Updated 9 years ago
- Five deep learning courses from coursera offered by Andrew Ag.☆12Dec 29, 2019Updated 6 years ago
- Use hidden Markov models to label regimes on S&P 500 data, train three classifiers (naive Bayes, logistic regression, and support vector …☆14Feb 28, 2023Updated 3 years ago