jeffrisandy / starbuck_capstoneLinks
An Udacity DSND Capstone - Starbucks Challenge
☆10Updated 6 years ago
Alternatives and similar repositories for starbuck_capstone
Users that are interested in starbuck_capstone are comparing it to the libraries listed below
Sorting:
- Hands-On Data Science for Marketing, published by Packt☆253Updated 7 months ago
- ☆56Updated 7 years ago
- Achieve your marketing goals with the data analytics power of Python☆226Updated 6 years ago
- Udacity Data Science Nanodegree Capstone☆37Updated 5 years ago
- ARIMA forecasts on the AirPassengers dataset built in Python and Tableau☆50Updated 7 years ago
- Analysis for Customer Segmentation☆72Updated 5 years ago
- Code from the book Fighting Churn With Data☆307Updated 4 months ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆423Updated last year
- Added repo for PyData LA 2018 tutorial☆88Updated 7 years ago
- A Placeholder of all the scripts & notebooks which I'll be using for GA Sessions☆29Updated 6 years ago
- In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…☆61Updated 2 years ago
- Web scraping, APIs, and Twitter☆34Updated 7 years ago
- Predicting Employee Churn with Supervised Machine Learning☆63Updated 5 years ago
- Jupyter notebook for scraping and analysis of most in demand job technologies skills for data scientists.☆47Updated 6 years ago
- ☆81Updated 2 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆137Updated 7 years ago
- Course on Udemy by Jose Portilla☆98Updated 7 years ago
- Tutorial given at PyData LA 2018☆97Updated last year
- Build a Complex Reporting Dashboard using Dash and Plotly☆217Updated 3 years ago
- Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel☆366Updated 5 years ago
- ☆17Updated 5 years ago
- Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data