YoVDO

Machine Learning with Spark on Google Cloud Dataproc

Offered By: Google via Google Cloud Skills Boost

Tags

Dataproc Courses Big Data Courses Machine Learning Courses Apache Spark Courses Data Cleaning Courses Logistic Regression Courses Model Evaluation Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
In this lab you will learn how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset

Syllabus

  • GSP271
  • Overview
  • Setup and requirements
  • Task 1. Create a Dataproc cluster
  • Task 2. Set up bucket and start pyspark session
  • Task 3. Read and clean up dataset
  • Task 4. Develop a logistic regression model
  • Task 5. Save and restore a logistic regression model
  • Task 6. Predict with the logistic regression model
  • Task 7. Examine model behavior
  • Task 8. Evaluate the model
  • Congratulations!

Tags

Related Courses

Data Wrangling with MongoDB
MongoDB via Udacity Getting and Cleaning Data
Johns Hopkins University via Coursera 软件包在流行病学研究中的应用 Using software apps in epidemiological research
Peking University via Coursera Creating an Analytical Dataset
Udacity Implementing ETL with SQL Server Integration Services
Microsoft via edX