PacktPublishing / Data-Science-for-Marketing-Analytics-Second-EditionLinks
☆130Updated last week
Alternatives and similar repositories for Data-Science-for-Marketing-Analytics-Second-Edition
Users that are interested in Data-Science-for-Marketing-Analytics-Second-Edition are comparing it to the libraries listed below
Sorting:
- Hands-On Data Science for Marketing, published by Packt☆250Updated 4 months ago
- Achieve your marketing goals with the data analytics power of Python☆225Updated 6 years ago
- Python Data Cleaning Cookbook, published by Packt☆267Updated last week
- The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previou…☆90Updated 3 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…☆153Updated 2 years ago
- Practical Data Science with Python, published by Packt☆132Updated last week
- Portfolio in Python☆48Updated 2 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆48Updated 4 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆144Updated 4 years ago
- Mastering Big Data Analytics with PySpark, Published by Packt☆161Updated last year
- Cleaning Data for Effective Data Science, published by Packt☆99Updated last week
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆77Updated 5 years ago
- Statistical Analysis: Project with A/B testing and Machine Learning methodologies☆14Updated 6 years ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆239Updated 5 years ago
- Live Training: Market Basket Analysis in Python☆47Updated 5 years ago
- ☆122Updated last week
- ☆54Updated 2 years ago
- Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla☆46Updated 4 years ago
- Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that a…☆44Updated 6 years ago
- Portofolio repository for Udacity Data Scientist Nanodegree☆42Updated 5 years ago
- Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices☆130Updated 3 years ago
- Learning Tableau 2020, published by Packt☆61Updated last week
- Code from the book Fighting Churn With Data☆297Updated last month
- Data Cleaning and Exploration with Machine Learning☆53Updated last week
- Code for the book Analytical Skills for AI and Data Science☆47Updated 5 years ago
- All Data Engineering notebooks from Datacamp course☆115Updated 5 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…☆22Updated 5 years ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆44Updated last year
- Essential PySpark for Scalable Data Analytics, published by Packt☆45Updated 2 years ago
- Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.☆82Updated 7 years ago