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ZeroToMastery - Machine Learning with Spark ML 2025-9
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Course content
Sections:
4
•
Activities:
1
•
Resources:
24
- Announcements
- 1 Introduction Machine Learning with SparkML
- 2 What Is Machine Learning
- 4 Optional What Is a Virtualenv
- 1 Regression Algorithms
- 2 Building a Regression Model
- 3 Training a Model
- 4 Model Evaluation
- 5 Testing a Regression Model
- 6 Model Lifecycle
- 7 Feature Engineering
- 8 Improving a Regression Model
- 9 Machine Learning Pipelines
- 10 Creating a Pipeline
- 11 Exercise House Price Estimation
- 12 Exercise House Price Estimation Solution
- 13 Classification
- 14 Classifiers Evaluation
- 15 Training a Classifier
- 16 Hyperparameters
- 17 Optimizing a Model
- 18 Exercise Loan Approval
- 19 Exercise Loan Approval Solution
- 20 Deep Learning
- 1 Lets Keep Learning Together