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Category: Data Science Tutorials

Logistic Regression in Python

The logistic regression algorithm is a probabilistic machine learning algorithm used for classification tasks. This is usually the first classification algorithm you’ll try a classification task on. Unlike many machine learning algorithms that seem to be a black box, the logisitc regression algorithm is easily understood. In this tutorial, you’ll learn everything you need to […]

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Azure SQL Database Tutorial for Beginners (2022)

Introduction Are you looking for a database solution that can handle large workloads and scale quickly? If so, Azure SQL Database may be the perfect option for you. Azure SQL Database is a cloud-based database service that provides all of the features of Microsoft SQL Server with added scalability and flexibility. Azure SQL Database is […]

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A Gentle Introduction to PyTorch for Beginners (2022)

When machine learning with Python, you have multiple options for which library or framework to use. However, if you’re moving toward deep learning, you should probably use either TensorFlow or PyTorch, the two most famous deep learning frameworks. In this article, we’ll go through a quick introduction to the PyTorch framework, going all the way […]

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How to Use Python Counters in 2022 (w/ 23 Code Examples)

We, as Python developers, may need to develop a piece of code that counts several repeated objects at once. There are different ways to perform this task. However, Python’s Counter class from the collections module provides the most efficient and straightforward solution to count individual items in an iterable object. In this tutorial, we will […]

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How to Use Python Data Classes in 2022 (A Beginner’s Guide)

In Python, a data class is a class that is designed to only hold data values. They aren’t different from regular classes, but they usually don’t have any other methods. They are typically used to store information that will be passed between different parts of a program or a system. However, when creating classes to […]

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How to Implement a B-Tree Data Structure (2022 Version)

Rudolf Bayer and Edward M. McCreight coined the term B-tree data structure at the Boeing Research Labs in 1971. They published a scientific paper titled "Organization and maintenance of large ordered indices" and introduced a new data structure for fast data retrieval from disks. Although the B-tree data structure has evolved over the decades, understanding […]

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A Gentle Introduction to Databricks in Azure (2022 Version)

Azure Databricks is a powerful platform for data science and machine learning. It provides you with the ability to clean, prepare, and process data quickly and easily. Additionally, it offers scalable computing resources that allow you to train and deploy your models at scale. Azure Databricks isn’t limited to data science and machine learning — […]

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Regularization in Machine Learning (with Code Examples)

In this tutorial, we’ll learn what regularization is and why we use it. We’ll also discuss regularization techniques and how to use them. After you finish this tutorial, you’ll understand the following: Regularization in machine learning L1 regularization (lasso regression) L2 regularization (ridge regression) Elastic Net How to use these regularization techniques In this tutorial, […]

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How to Create Parameters in Tableau (A Simple Guide)

What Is a Parameter in Tableau? Parameters are among the most versatile and useful features in Tableau — especially following the 2020 addition of parameter dashboard actions. As with just about anything in Tableau, we can start small and work our way to greater complexity — Tableau parameters are no different. Why Use Parameters in Tableau? […]

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A Beginner’s Guide to Unit Tests in Python (2022)

Unit tests are segments of code written to test other pieces of code, typically a single function or method, that we refer to as a unit. They are a very important part of the software development process, as they help to ensure that code works as intended and catch bugs early on. Also, testing is […]

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