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1
Google Cloud Platform (00:00)
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Sesi 1: Tools Installation
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Sesi 1: SQL in Google Cloud Platform using BigQuery
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2
Feature Engineering (00:00)
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Sesi 2: Perkenalan Feature Engineering
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Sesi 3: Outlier Handling
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3
Supervised Machine Learning (00:00)
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Sesi 4: Regression Models
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Sesi 4: Regularization
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Assignment 1: Regression Model
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Sesi 5: Logistic Regression
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Sesi 6: KNN
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Sesi 6: Naive Bayes
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Sesi 7: Decision Tree
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Sesi 7: Random Forest
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Support Vector Machine (SVM)
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Long Short Term Memory
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4
Model Evaluation & Improvement (00:00)
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Sesi 8: Model Evaluation
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Sesi 9: Model Improvement
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Assignment 2 - Create a Classification Model using a Flight dataset
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5
Pipeline (00:00)
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Sesi 10: Algorithm Chains and Pipelines
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6
Unsupervised Machine Learning (00:00)
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Sesi 11: PCA
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Sesi 12: Clustering
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Assignment 3: Clustering Online Retail Customers
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7
Time Series (00:00)
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Sesi 13: Introduction to Time Series
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Sesi 14: Time Series - Model Selection
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LSTM with Time Series
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8
Final Project (00:00)
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Model Deployment with Streamlit and Hugging Face
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Final Project: Predicting Flight Traffic
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