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コース概要
Introduction
Overview of Data Mining Concepts
Data Mining Techniques
Finding Association Rules
Matching Entities
Analyzing Networks
Analyzing the Sentiment of Text
Recognizing Named Entities
Implementing Text Summarization
Generating Topic Models
Detecting Data Anomalies
Best Practices
Summary and Conclusion
要求
- An understanding of Python programming.
- An understanding of Python libraries in general.
Audience
- Data analysts
- Data scientists
14 時間
お客様の声 (5)
私たちのプロジェクトで使用しているデータ（ラスター形式の衛星画像）とより類似したデータを使用して、より実践的な演習を行えること
Matthieu - CS Group
コース - 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.
コース - 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
コース - Build REST APIs with Python and Flask
Trainer develops training based on participant's pace
Farris Chua
コース - Data Analysis in Python using Pandas and Numpy
I mostly enjoyed everything.
