Eksplorasi Data Lanjutan dan Teknik Manipulasi Data dengan Python
- Deskripsi
- Materi
- Ulasan
Apa yang akan Anda pelajari
☑️ Memahami konsep dasar dan pentingnya Exploratory Data Analysis (EDA). ☑️ Mempelajari cara melakukan EDA dengan pustaka otomatis seperti Autoviz, Pandas Visual Analysis, dan D-Tale. ☑️ Teknik rekayasa fitur dan seleksi fitur yang efektif untuk meningkatkan performa model. |
☑️ Pengenalan dan penggunaan pustaka visualisasi data cerdas seperti Lux dan Klib. ☑️ Langkah-langkah dalam membersihkan, menganalisis, dan memvisualisasikan data dengan Python |
Kursus ini dirancang untuk memberikan pemahaman mendalam tentang teknik Exploratory Data Analysis (EDA) menggunakan berbagai pustaka Python yang canggih. Melalui kursus ini, peserta akan mempelajari cara menggunakan pustaka otomatis EDA seperti Autoviz, D-Tale, dan DataPrep untuk melakukan visualisasi data dan analisis yang komprehensif. Selain itu, peserta akan mempelajari teknik penting dalam rekayasa fitur dan seleksi fitur, serta cara menerapkan transformasi data yang efektif untuk memaksimalkan hasil analisis.
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11 . Advance House Price Prediction - Exploratory Data Analysis - Part 1Pratinjau 23:29
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22. Advance House Price Prediction - Exploratory Data Analysis - Part 2Pratinjau 19:48
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33. Advance House Price Prediction - Feature Engineering Part 1Pratinjau 14:12
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44. Advance House Price Prediction - Feature Engineering Part 2Sorry, this lesson is currently locked. You need to complete "3. Advance House Price Prediction - Feature Engineering Part 1" before accessing it.
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55. Advance House Price Prediction - Feature SelectionSorry, this lesson is currently locked. You need to complete "4. Advance House Price Prediction - Feature Engineering Part 2" before accessing it.
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66. Autoviz - Automatically Visualize Any Dataset With Single Line Of CodeSorry, this lesson is currently locked. You need to complete "5. Advance House Price Prediction - Feature Selection" before accessing it.
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77. All Automated EDA Libraries All At One Place - 14:39Sorry, this lesson is currently locked. You need to complete "6. Autoviz - Automatically Visualize Any Dataset With Single Line Of Code" before accessing it.
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88. Pandas Visual Analysis - Perform Exploratory Data Analysis In A Single Line Of CodeSorry, this lesson is currently locked. You need to complete "7. All Automated EDA Libraries All At One Place - 14:39" before accessing it.
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99. D-Tale The Best Library To Perform Exploratory Data Analysis Using Single Line Of CodeSorry, this lesson is currently locked. You need to complete "8. Pandas Visual Analysis - Perform Exploratory Data Analysis In A Single Line Of Code" before accessing it.
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1010. Discussing All The Types Of Feature Transformation In Machine LearningSorry, this lesson is currently locked. You need to complete "9. D-Tale The Best Library To Perform Exploratory Data Analysis Using Single Line Of Code" before accessing it.
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1111. Perform Exploratory Data Analysis In Minutes - Data Science | Machine LearningSorry, this lesson is currently locked. You need to complete "10. Discussing All The Types Of Feature Transformation In Machine Learning" before accessing it.
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1212. Building Automated Exploratory Data Analysis Project - Project From SubscriberSorry, this lesson is currently locked. You need to complete "11. Perform Exploratory Data Analysis In Minutes - Data Science | Machine Learning" before accessing it.
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1313. DataPrep Library - Perform Faster EDA Within No TimeSorry, this lesson is currently locked. You need to complete "12. Building Automated Exploratory Data Analysis Project - Project From Subscriber" before accessing it.
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1414. Lux - Python Library for Intelligent Visual DiscoverySorry, this lesson is currently locked. You need to complete "13. DataPrep Library - Perform Faster EDA Within No Time" before accessing it.
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1515. Clean, Analyze, Visualize And Perform EDA With Klib Library In No TimeSorry, this lesson is currently locked. You need to complete "14. Lux - Python Library for Intelligent Visual Discovery" before accessing it.

1 . Advance House Price Prediction - Exploratory Data Analysis - Part 1
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 |