Pemodelan dan Analitika Prediktif (Q)
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Predictive Modeling and Analytics
Learning Plan
Data Mining Weka
Data Mining in R
Time Series Forecasting with R
PMA 2025
Announcements
Section 1
Predictive Analytics Time Series
Section 2
Predictive Lecture Note 1
Autocorrelation Analysis
First Challenge: Identify Data Pattern
Section 3
Moving Average
Second Challenge: Moving Average
Section 4
Exponential Smoothing
Third Challenge: Exponential Smoothing
Section 5
Section 6
Box Jenkins Forecast (ARIMA model)
Seasonal ARIMA
Dataset
Section 7
artificial neural network
Section 8
Midterm Evaluation (Dataset)
Midterm Evaluation (Answersheet)
Midterm Evaluation (Submission)
Section 9
classification part 1
classification part 2
Section 10
Section 11
Fourth challenge: Classify
Submit Classification Task
Section 12
Fifth Challenge: Exploring Weka for Classification
Section 14
Final term evaluation
Section 15
Section 16
Next
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Pemodelan dan Analitika Prediktif (Q)
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Institut Teknologi Sepuluh Nopember
Sarjana
Fakultas Teknologi Elektro dan Informatika Cerdas
S-1 SISTEM INFORMASI KELAS INTERNASIONAL
Semester Genap 2024/2025
Pemodelan dan Analitika Prediktif (Q)
Summary
Pemodelan dan Analitika Prediktif (Q)
Teacher:
Raras Tyasnurita