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Stok: 110
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Rp43.000
VIDEO TUTORIAL Complete Machine Learning with R Studio - ML for 2023 - DVD
Rp43.000
Pilih warna: DVD
- Kondisi: Baru
- Min. Pemesanan: 1 Buah
- Etalase: DVD Tutorial
LANGSUNG DIORDER YA GAN, BARANG DIJAMIN READY!!
MAU LEBIH PRAKTIS??.. Kami juga menyediakan pengiriman menggunakan media Flashdisk
Silahkan pilih di bagian Varian yaa..
Barang DIJAMIN ready ya, langsung saja diklik pesan
VIDEO TUTORIAL Complete Machine Learning with R Studio - ML for 2023
di dalam keping DVD berisi:
1. Video Tutorial kualitas HD(Berbahasa inggris)
2. Subtitle
3. File pendukung lainnya
daftar modul (LIHAT SLIDE)
1. Welcome to the course
2. Setting up R Studio and R crash course
3. Basics of Statistics
4. Intorduction to Machine Learning
5. Data Preprocessing for Regression Analysis
6. Linear Regression Model
7. Regression models other than OLS
8. Introduction to the classification Models
9. Logistic Regression
10. Linear Discriminant Analysis
11. K-Nearest Neighbors
12. Comparing results from 3 models
13. Simple Decision Trees
14. Simple Classification Tree
15. Ensemble technique 1 - Bagging
16. Ensemble technique 2 - Random Forest
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost
18. Support Vector Machines
19. Support Vector Classifier
20. Support Vector Machines
21. Creating Support Vector Machine Model in R
22. Congratulations & about your certificate
MAU LEBIH PRAKTIS??.. Kami juga menyediakan pengiriman menggunakan media Flashdisk
Silahkan pilih di bagian Varian yaa..
Barang DIJAMIN ready ya, langsung saja diklik pesan
VIDEO TUTORIAL Complete Machine Learning with R Studio - ML for 2023
di dalam keping DVD berisi:
1. Video Tutorial kualitas HD(Berbahasa inggris)
2. Subtitle
3. File pendukung lainnya
daftar modul (LIHAT SLIDE)
1. Welcome to the course
2. Setting up R Studio and R crash course
3. Basics of Statistics
4. Intorduction to Machine Learning
5. Data Preprocessing for Regression Analysis
6. Linear Regression Model
7. Regression models other than OLS
8. Introduction to the classification Models
9. Logistic Regression
10. Linear Discriminant Analysis
11. K-Nearest Neighbors
12. Comparing results from 3 models
13. Simple Decision Trees
14. Simple Classification Tree
15. Ensemble technique 1 - Bagging
16. Ensemble technique 2 - Random Forest
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost
18. Support Vector Machines
19. Support Vector Classifier
20. Support Vector Machines
21. Creating Support Vector Machine Model in R
22. Congratulations & about your certificate
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