Belajar Machine Learning Dasar: Python Scikit Learn
- Deskripsi
- Materi
- Ulasan
Apa yang akan Anda pelajari
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☑️ Konsep Dasar Machine Learning ☑️ Instalasi Scikit-Learn ☑️ Pemilihan Fitur ☑️ Pemilihan Model ☑️ Evaluasi Model ☑️ Validasi Silang (Cross-Validation) ☑️ Pemahaman Terhadap Overfitting dan Underfitting ☑️ Proyek Praktis |
☑️ Pemahaman Python ☑️ Data Preprocessing ☑️ Pemisahan Data ☑️ Pelatihan Model ☑️ Optimasi Hyperparameter ☑️ Penerapan Model ☑️ Interpretasi Model |
Kursus “Pengenalan Machine Learning dengan Python dan Scikit-Learn” adalah kursus yang dirancang untuk memberikan pemahaman dasar tentang Machine Learning dan cara mengimplementasikannya menggunakan bahasa pemrograman Python dengan bantuan toolkit Scikit-Learn. Kursus ini cocok bagi pemula yang ingin memahami konsep-konsep dasar Machine Learning dan ingin menguasai alat-alat yang digunakan dalam proses pembelajaran mesin.
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1Belajar Machine Lerning menggunakan pythonPratinjau 02:26
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21. Pengenalan Machine Learning 16:31Sorry, this lesson is currently locked. You need to complete "Belajar Machine Lerning menggunakan python" before accessing it.
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32. Sample Dataset pada Scikit-Learn24:45Sorry, this lesson is currently locked. You need to complete "1. Pengenalan Machine Learning 1" before accessing it.
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43. Machine Learning Workflow dengan Scikit-Learn15:55Sorry, this lesson is currently locked. You need to complete "2. Sample Dataset pada Scikit-Learn" before accessing it.
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54. Data Preprocessing dengan Scikit-Learn17:08Sorry, this lesson is currently locked. You need to complete "3. Machine Learning Workflow dengan Scikit-Learn" before accessing it.
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65. Simple Linear Regression dengan Scikit-Learn38:52Sorry, this lesson is currently locked. You need to complete "4. Data Preprocessing dengan Scikit-Learn" before accessing it.
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76. Classification dengan KNN47:22Sorry, this lesson is currently locked. You need to complete "5. Simple Linear Regression dengan Scikit-Learn" before accessing it.
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87. Regression dengan KNNPratinjau 45:54
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98. Multiple Linear Regression & Polynominal Regression29:48Sorry, this lesson is currently locked. You need to complete "7. Regression dengan KNN" before accessing it.
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109. Label Encoding & One Hot Encoding18:48Sorry, this lesson is currently locked. You need to complete "8. Multiple Linear Regression & Polynominal Regression" before accessing it.
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1110. Bag of Words & Stop Word Filtering15:38Sorry, this lesson is currently locked. You need to complete "9. Label Encoding & One Hot Encoding" before accessing it.
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1211. TF-IDF Term Frequency - Inverse Document Frequency14:37Sorry, this lesson is currently locked. You need to complete "10. Bag of Words & Stop Word Filtering" before accessing it.
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1312. Logistic Regression pada Binary Clasification Task48:27Sorry, this lesson is currently locked. You need to complete "11. TF-IDF Term Frequency - Inverse Document Frequency" before accessing it.
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1413. Naive Bayes Classification28:57Sorry, this lesson is currently locked. You need to complete "12. Logistic Regression pada Binary Clasification Task" before accessing it.
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1514. Support Vector Machine Classification31:32Sorry, this lesson is currently locked. You need to complete "13. Naive Bayes Classification" before accessing it.
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1615. Decision Tree Classification | Pohon Keputusan29:33Sorry, this lesson is currently locked. You need to complete "14. Support Vector Machine Classification" before accessing it.
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1716. Random Forest Classification | Pohon Keputusan19:50Sorry, this lesson is currently locked. You need to complete "15. Decision Tree Classification | Pohon Keputusan" before accessing it.
Belajar Machine Lerning menggunakan python
Jam Kerja
| Monday | 07.00 WIB - 16.00 WIB |
| Tuesday | 08.00 WIB - 15.00 WIB |
| Wednesday | 06.00 WIB - 15.00 WIB |
| Thursday | 07.00 WIB - 16.00 WIB |
| Friday | 08.00 WIB - 15.00 WIB |
| Saturday | Closed |
| Sunday | Closed |