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Course Outline
Pendahuluan
Ikhtisar Konsep Data Mining
Data Mining Teknik
Menemukan Aturan Asosiasi
Mencocokkan Entitas
Menganalisis Jaringan
Menganalisis Sentimen Teks
Mengenali Entitas Bernama
Mengimplementasikan Ringkasan Teks
Menghasilkan Model Topik
Mendeteksi Anomali Data
Praktik Terbaik
Ringkasan dan Kesimpulan
Requirements
- Pemahaman tentang pemrograman Python.
- Pemahaman tentang pustaka Python secara umum.
Target Peserta
- Analis data
- Ilmuwan data
14 Hours
Testimonials (5)
Fakta memiliki lebih banyak latihan praktis menggunakan data yang lebih mirip dengan apa yang kami gunakan dalam proyek kami (gambar satelit dalam format raster)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
Machine Translated
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Course - Developing APIs with Python and FastAPI
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Course - Build REST APIs with Python and Flask
Trainer develops training based on participant's pace
Farris Chua
Course - Data Analysis in Python using Pandas and Numpy
I mostly enjoyed everything.
