Repositório para o #alurachallengedatascience1
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Updated
May 30, 2022 - Jupyter Notebook
Repositório para o #alurachallengedatascience1
Modelling with Tidymodels and Parsnip - A Tidy Approach to a Classification Problem
Churn prediction project
ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
Telecom Churn Prediction using Machine Learning models
A sample churn prevention solution for an fintech app
Business Science Case Study Rmarkdown
ANN to predict churning rate
sample data set and queries for performing a churn analysis on an e-commerce website
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…
Customer churn analysis
Analysing the telecom customer churn data
Leverage HR measures to build a classification model and detect employees likely to leave the company
Demo to showcase advanced analytics with SQL R Services
Telecom Project
Identifying factors that resulted in Customer Churn
ChurnRadar: Unveiling Customer Churn Patterns with Predictive Insights
Customer Churn Analysis in R: Logistic, Classification Tree, XGBoost, Random Forest.
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