IBM / icp4d-customer-churn-classifier
Infuse AI into your application. Create and deploy a customer churn prediction model with IBM Cloud Private for Data, Db2 Warehouse, Spark MLlib, and Jupyter notebooks.
☆17Updated last year
Alternatives and similar repositories for icp4d-customer-churn-classifier:
Users that are interested in icp4d-customer-churn-classifier are comparing it to the libraries listed below
- This is a guided certification project, as a part of Data Science for Social Good initiative☆17Updated 5 years ago
- In this project, I used Decision Tree Learning Model as the main algorithm to build the model. Due to the big amount of flight data, we i…☆11Updated 3 years ago
- Insurance Claim Prediction using Machine Learning - Udacity Nanodegree Capstone Project☆16Updated 8 years ago
- Learn how to build NPL Cognitive Chatbots☆24Updated 5 years ago
- A Data science and Analytics project with the main aim of doing some Descriptive and Exploratory Data Analysis and then applying predict…☆48Updated 4 years ago
- Streamlit example showing Scikit Learn & Pyspark ML over Healthcare data ! Its simple !!☆30Updated 4 years ago
- Customer analytics has been one of hottest buzzwords for years. Few years back it was only marketing department’s monopoly carried out wi…☆24Updated 6 years ago
- Fraud detection in credit card payments and auto insurance claims using PySpark☆13Updated 6 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆72Updated 5 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
- ACM RecSys Challenge 2016: Job recommender system for XING☆8Updated 8 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 5 years ago
- Customer-base segmentation over e-commerce sales data☆25Updated 4 years ago
- The python notebook is on googles new collabatory tool. Its a churn model being run on 3 different algorithms to compare.☆9Updated 7 years ago
- A curated list of references for MLOps☆13Updated 4 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- A perfect project to learn Data Analytics and apply machine learining algorithms to predict the outlet production sales.☆17Updated 5 years ago
- The repository for the course in Udemy☆16Updated 5 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- ☆16Updated 2 years ago
- Prototype for automation of the preliminary stages of recruitment using Data Science and AI. Web Application template for an ATS portal☆33Updated 2 years ago
- Implementation of Spark code in Jupyter notebook. Topics include: RDDs and DataFrame, exploratory data analysis (EDA), handling multiple …☆29Updated 4 years ago
- Graph theory to optimize the road transportation network of a retail company☆19Updated last month
- Using Apache Spark SQL, Spark ML, Pandas to analyse and predict using the Chicago crime dataset☆11Updated 6 years ago
- Repository for Resources and Code used in Dehradun School of AI Workshops and Meetups☆45Updated 6 years ago
- Using Time Series forecasting and analysis to predict Walmart Sales across 45 stores.☆19Updated 6 years ago
- "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018☆24Updated 6 years ago
- Create an end-to-end AI solution that will help predict insurance premium cost with IBM Watson Studio and AutoAI.☆48Updated 2 years ago
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 2 years ago
- This project contains codes and notebooks related to various use cases for banking.☆90Updated 6 years ago