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Machine Learning with Spark ML
Introduction
Introduction: Machine Learning with SparkML (7:45)
What Is Machine Learning? (6:05)
Exercise: Meet Your Classmates and Instructor
Course Resources
Setup and Useful Resources
[Optional] Using Windows
[Optional] UNIX CLI Commands
Installing Software for the Course
[Optional] What Is a Virtualenv? (6:36)
Machine Learning with Spark ML: Create a Data Pipeline, Train a Model + more
Regression Algorithms (5:37)
Building a Regression Model (5:03)
Training a Model (9:45)
Model Evaluation (7:25)
Testing a Regression Model (3:56)
Model Lifecycle (2:11)
Feature Engineering (8:43)
Improving a Regression Model (7:33)
Machine Learning Pipelines (3:55)
Creating a Pipeline (2:40)
[Exercise] House Price Estimation (1:58)
[Exercise] House Price Estimation - Solution (3:12)
Classification (7:36)
Classifiers Evaluation (4:26)
Training a Classifier (8:30)
Hyperparameters (8:05)
Optimizing a Model (3:01)
[Exercise] Loan Approval (2:33)
[Exercise] Loan Approval - Solution (2:32)
Deep Learning (6:55)
Where To Go From Here?
Let's Keep Learning Together! (1:04)
Review This Byte!
Introduction: Machine Learning with SparkML