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  1. 14 Φεβ 2020 · You can access this book in different file formats that are optimized to give you a great reading experience, no matter which device you are using. The options are as follows: DRM-free PDF optimized for reading on tablets and computers: Download. Python Basics (PDF) 5.8 MB. ePub version for e-reader devices and phones/tablets: Download.

  2. Welcome to Python Practice Book. CHAPTER 1. About this Book. This book is prepared from the training notes of Anand Chitipothu. Anand conducts Python training classes on a semi-regular basis in Bangalore, India. Checkout out the upcoming trainings if you are interested. CHAPTER 2. Table of Contents. Getting Started. Running Python Interpreter.

  3. PyOD is a scalable Python toolkit for detecting outliers in multivariate data. It provides access to around 20 outlier detection algorithms under a single well-documented API.

  4. 8 Οκτ 2022 · This book covers the major anomaly detection algorithms with code examples. For each algorithm, I present the strengths and limitations. This book selects 11 algorithms from proximity-based ...

  5. In this code repository you find the solutions and sample implementations for the solutions and challenges posed in our Python Basics book. All solutions and sample files are ordered by chapter so you can quickly navigate to the code you're looking for.

  6. 24 Απρ 2023 · In this blog post, we’ll explore various outlier detection and handling techniques using Python and provide examples to demonstrate their effectiveness.

  7. Welcome to “50 Examples for Teaching Python”. My goal was to collect interesting short examples of Python programs, examples that tackle a real-world problem and exercise various features of the Python language.

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