Telecom Customer Churn Prediction in Apache Spark (ML)
Learn Apache Spark machine learning by creating a Telecom customer churn prediction project using Databricks Notebook
4.51 (79 reviews)
15,636
students
2 hours
content
Nov 2024
last update
$29.99
regular price
What you will learn
In this course you will implement Spark Machine Learning Project Telecom Customer Churn Prediction in Apache Spark using Databricks Notebook (Community edition)
Launching Apache Spark Cluster
Process that data using a Machine Learning model (Spark ML Library)
Hands-on learning
Explore Apache Spark and Machine Learning on the Databricks platform.
Create a Data Pipeline
Real-time Use Case
Publish the Project on Web to Impress your recruiter
Graphical Representation of Data using Databricks notebook.
Transform structured data using SparkSQL and DataFrames
Data Preprocessing & Feature Engineering: Clean and transform telecom customer data to make it ready for analysis.
Machine Learning Models: Build and train predictive models using Apache Spark's MLlib to accurately predict customer churn.
Model Evaluation & Optimization: Learn how to assess the performance of your model and fine-tune it for better accuracy.
Scalable Data Pipelines: Use Spark’s distributed computing power to build scalable solutions that can handle large volumes of customer data.
Actionable Insights: Extract key insights from the predictions to help businesses proactively reduce churn and retain customers.
2459992
udemy ID
7/15/2019
course created date
9/18/2019
course indexed date
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