imsanjoykb / Sales-and-Marketing-AnalyticsLinks
This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.
☆15Updated 4 years ago
Alternatives and similar repositories for Sales-and-Marketing-Analytics
Users that are interested in Sales-and-Marketing-Analytics are comparing it to the libraries listed below
Sorting:
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆46Updated 4 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- Statistical Analysis: Project with A/B testing and Machine Learning methodologies☆14Updated 6 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆74Updated 5 years ago
- Senior Supply Chain Engineer using Data Science for Operational Excellence☆19Updated last month
- Machine Learning Projects☆14Updated 3 years ago
- Understanding the supply chain process data and implementing different algorithms, building a machine learning model that can predict whe…☆12Updated 2 years ago
- This project focuses on Supply Chain Analytics and Demand Forecasting using advanced analytics and models to optimize operations and pred…☆7Updated 11 months ago
- Customer Personality Analysis Using Clustering☆23Updated 5 months ago
- Bunch of Computer Vision Projects☆11Updated 3 years ago
- Supply Chain Optimization with Python☆96Updated 4 months ago
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆57Updated 5 years ago
- Inventory Management for Retail — Deterministic Demand☆16Updated 4 months ago
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆52Updated 4 years ago
- Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction☆27Updated 4 years ago
- Solved end-to-end machine learning projects☆32Updated last year
- The Customer Churn table contains information on all 7,043 customers from a Telecommunications company in California in Q2 2022. We need …☆17Updated last year
- Credit Card Fraud Detection☆39Updated last year
- The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previou…☆83Updated 2 years ago
- Optimize revenues through pricing algorithm in python - Demand with uniform distribution☆31Updated 4 years ago
- n this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the fi…☆18Updated 4 years ago
- Implement inventory management rules based on a periodic review policy☆13Updated 4 months ago
- Data Science Case Studies☆14Updated 4 years ago
- This documentation is like a quick snapshot of my project in the data field, showing off my skills and know-how in this area.☆50Updated last year
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆35Updated 5 years ago
- Data Analyst Path Guided Projects from DataQuest☆15Updated 7 years ago
- Docker For Python Machine learning☆11Updated 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…☆146Updated 2 years ago
- Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we a…☆56Updated 4 years ago
- Credit Risk Modelling | Calculation of PD, LGD, EDA and EL with Machine Learning in Python☆26Updated 2 years ago