Tiago Dantas's repositories
Bagged.Cluster.ETS
Method developed by Tiago Dantas and Fernando Cyrino Oliveira that combines Bagging, Clusters and ETS to produce highly accurate time series forecasts
amazon-ai-building-better-bots
Code samples related to Building Better Bots published on the AI Blog
amazon-sagemaker-workshop
Jupyter notebooks and lab guide for Amazon SageMaker workshops
Coding-Challenge
A set of coding challenge for various engineering roles at Isentia
customer_churn_analysis
In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their loss or churn rate of customers is 40%. As per 80/20 customer profitability rule, 20% of customers are generating 80% of revenue. So, it is very important to predict the users likely to churn from business relationship and the factors affecting the customer decisions. We are going to show how logistic regression model using R can be used to identify the customer churn in the telecom dataset.
R-for-Data-Science
D-Lab R-intensive teaching materials
tiagomendesdantas.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes