ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification

Repositório para o #alurachallengedatascience1

Modelling with Tidymodels and Parsnip - A Tidy Approach to a Classification Problem

Predicting user churn for a mobile health app called Diabesties. Capstone project for Galvanize Phoenix Data Science Immersive, October 2017.

Churn Analyzer: Analyze and understand user churn rate in your PostgreSQL database effortlessly.

A sample churn prevention solution for an fintech app

Customer Churn Analysis in R: Logistic, Classification Tree, XGBoost, Random Forest.

Churn prediction project

crowd analytix competition

Telecom Churn Prediction using Machine Learning models

Demo to showcase advanced analytics with SQL R Services

Importance of churn Analysis and some concept upon it

Business Science Case Study Rmarkdown

ANN to predict churning rate

Project to predict retention of students in a study program up-to and beyond semester 6 based on scores, socio-economic & demography factors (like debt, gender, religion and race), transferred credits, family fee contributions, academic background, phone and email habits.

Analysing the telecom customer churn data

🤟 Enable communication for blind and speech-impaired users with real-time sign language gesture recognition and voice output in this AI-powered accessibility tool.

This repository is about predicting the exit status of the customer of the bank using the other independent variables in the dataset.We are using a Artificial Neural Network as the model to train over the dataset.Go through the Notebook to find the relevant details , visualisations about the dataset. The ANN.py file contains the code for trainin…

sample data set and queries for performing a churn analysis on an e-commerce website

Develop an overview dashboard for managers utilizing a telecom industry user churn dataset to present insights on the current churn situation.