WebAug 1, 2024 · Supervised Learning Capstone Project. In this notebook, telecom customer data was read in to determine whether customer churn can be predicted. As shown … WebAug 28, 2015 · Here is one of the student sharing his experience undergoing the capstone project: During our course at Great Lakes, we learnt about various techniques like, ways of cleaning-up data, multiple algorithms for analysis and modeling, goodness of fit to check model fitness and had numerous sessions on business intelligence.
Predicting Churn Using User Event Logs — Capstone Project
WebMar 19, 2024 · The Capstone project’s data is provided by Udacity. The size of the data is 248 MB, which is a subset of the original data, which is 12 GB. ... Thus, for the sake of this project, with the intention of scaling it to the whole 12 GB dataset, this is a Customer Churn prediction project using Apache Spark’s python API, pyspark. WebJan 22, 2024 · The main idea of this Sparkify project is to create a machine learning model that can predict churned users. Predicting churn rates is a challenging and common … northern ndebele history
End-to-end machine learning project: Telco …
By: Tamjid Ahsan As capstone project of Flatiron Data Science Bootcamp. 1. Student pace: Full Time 2. Scheduled project review date/time: July 22, 2024, 05:00 PM [DST] 3. Instructor name: James Irving See more The data for this analysis is obtained from Kaggle, titled "Credit Card customers" uploaded by Sakshi Goyal. Which can be found here, this dataset was originally obtained from … See more In this dataset, around 16% clients has halted their affiliation with the bank. Most of them are not normally distributed. Using logistic regression … See more WebApr 23, 2024 · The aim of this project is to perform an analysis and build a model that can classify users as being at risk of churning using the data in hand. How can predicting … WebApr 23, 2024 · End-to-End Guide to Building a Credit Scorecard Using Machine Learning. in. Help. Status. Writers. northern neck