IBM / icp4d-customer-churn-classifierLinks
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.
☆18Updated 2 months ago
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
Sorting:
- 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…☆12Updated 3 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆75Updated 5 years ago
- ☆18Updated 2 years ago
- Building Recommendation Systems with Python [Video], by Packt Publishing☆89Updated 2 years ago
- Monetize.ai is a web-based chatbot that provides personalized investment advice using GPT-3.5 and Yahoo Finance API. It's built using Fla…☆15Updated 2 years ago
- Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning☆36Updated 4 years ago
- Insurance fraud claims analysis project☆54Updated last year
- Detecting car parking slot on Open car park space☆13Updated 5 years ago
- Business setting up their recommendation system for first time without any product rating history, & Amazon/Netflix type of recommendatio…☆95Updated 2 years ago
- Sales forecasting for the supply chain industry.☆11Updated 4 years ago
- Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is…☆49Updated 4 years ago
- ☆63Updated 6 years ago
- Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.☆46Updated 6 years ago
- A curated list of references for MLOps☆13Updated 4 years ago
- This project is designed as Automated Application for performing Exploratory Data Analysis for given Dataset to generate insights using P…☆29Updated 2 years ago
- This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…☆67Updated last year
- Hands-On Ensemble Learning with Python, published by packt publishing☆55Updated 2 years ago
- Published by Packt☆122Updated 2 years ago
- Marketing Budget Optimization for Online Retailers using AI & Machine Learning.☆81Updated 5 years ago
- SohitKalluru / Forecasting-of-order-demand-in-warehouses-using-autoregressive-integrated-moving-average.Forecasting of order demand in warehouses using auto-regressive integrated moving average(ARIMA).☆23Updated 4 years ago
- Create Interactive Dashboards With Streamlit in Python☆16Updated 4 years ago
- ☆25Updated 5 years ago
- 🕸 List of mini projects that involve web scraping 🕸☆30Updated 5 years ago
- Machine learning Regression problem with easy understandable solutions☆36Updated 7 years ago
- This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset☆64Updated 7 years ago
- Predicting Global Supply Chain Outcomes for Essential HIV Medicines using Machine Learning Techniques☆40Updated 5 years ago
- In this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Dat…☆39Updated 6 years ago
- Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine☆33Updated 2 years ago
- Book Projects☆24Updated 4 years ago
- ☆33Updated 6 years ago