@CyberMichaela
Navigating the Cyber Ocean
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Nov 29, 2024 · 31 min read · 4. Preprocessing Guide 4.1 Data Loading and Exploration 4.1.1 Loading Data with Pandas Reading Datasets (.csv, .xlsx, .json, etc.) Using pandas.read_* Functions Pandas is the most widely used library for loading and manipulating tabular data in Pyth...
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Nov 29, 2024 · 54 min read · 1. Introduction 1.1 What is Machine Learning? Machine learning is a field of computer science that allows systems to learn and make decisions from data without being explicitly programmed. Instead of following a set of hard-coded rules, machine learn...
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Oct 20, 2024 · 62 min read · 1. Introduction to NumPy NumPy (Numerical Python) is the fundamental package for scientific computing in Python. It provides support for large, multi-dimensional arrays and matrices, along with a wide variety of high-level mathematical functions to ...
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Oct 19, 2024 · 22 min read · 12. Comprehensions and Generators Comprehensions and generators are two powerful tools in Python that allow you to create sequences, process data efficiently, and write more concise, readable code. These constructs help streamline tasks like creating...
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Oct 19, 2024 · 20 min read · 9. Object-Oriented Programming (OOP) in Python 9.1 Defining Classes and Objects In Python, a class is a blueprint for creating objects, and an object is an instance of a class. Classes define properties (attributes) and behaviors (methods). Example ...
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