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. 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
Li Wei Cheng - Data Analyst - Capstone Project - IBM …
WebBig Data Analytics – Churn Modelling fHow it works? 1. Understand the business 7. Iterate and 2. Get the Deploy data 3. Explore 6. Visualize and Prepare the data 5. Get 4. Enrich the Predictive data Big Data Analytics – Churn Modelling fUSE CASES f The PROBABILITY of “Churn” can be predicted! Use Various Statistical & Machine Learning techniques. WebApr 6, 2024 · Predicting Student Churn. Each year, roughly 30% of first-year students at baccalaureate institutions do not return for their second year and over $9 billion is spent educating these students. Yet, little … dhaval cauliflower
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WebJun 4, 2024 · As my capstone project for Udacity’s Data Science Nanodegree, I’ll demonstrate the use of Spark for scalable data manipulation and machine learning. Context-wise, we use the user log data from a fictitious music streaming company, Sparkify, to predict which customers are at risk to churn. WebCapstone Report Capstone Project 1 Churn Analysis of Bank Customers. Vaibhav Agarwal September 26, 2024. Contents 1. Introduction 2. Data Cleaning and Manipulation ... In this project, we keep in mind all elements of a confusion matrix. C. Logistic Regression: We train the training data from the splitted data with Logistic Regression. Tuned ... WebOct 19, 2024 · Pipeline: A Data Engineering Resource 3 Data Science Projects That Got Me 12 Interviews. And 1 That Got Me in Trouble. Suraj Gurav in Towards Data Science 3 Projects You Need in Your Data Science Portfolio Steve George in DataDrivenInvestor Incremental Data load using Auto Loader and Merge function in Databricks Help Status … cif onsicom