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Data science is an interdisciplinary field that involves the extraction of insights and knowledge from structured and unstructured data using various scientific methods, processes, algorithms, and systems, combining expertise from statistics, mathematics, computer science, and domain-specific knowledge to inform decision-making and solve complex problems.
Machine learning algorithms are pivotal in extracting knowledge from data and generating predictions. Python, a popular programming language, offers various widely used learning algorithms that address multiple challenges. These algorithms extract patterns and correlations from data, enabling computers to reason and predict future outcomes. Here’s a summary of five renowned […]
A window function in MySQL is a type of function that performs a calculation across a set of related rows without grouping or aggregating the data. Window functions are also known as analytic functions or ranking functions. Window functions are different from regular aggregate functions, such as SUM(), AVG(), MAX(), […]
Both Pandas and Polars are valuable tools that serve different purposes. Pandas is a data manipulation and analysis library for Python, while Polars is a data visualization library specifically designed to work with Pandas data frames. Pandas is a powerful tool for working with and manipulating data in Python. It […]
In MySQL, the WITH clause creates a temporary named result set known as a Common Table Expression (CTE). It allows you to define and reference a subquery in the main query. The syntax for using the WITH clause in MySQL is as follows: WITH cte_name AS (SELECT column1, column2, …FROM […]
Graphs are robust data structures that can represent relationships between entities. In Python, many libraries can be used to construct and manipulate graphs. Constructing Graphs in Python The NetworkX Library The NetworkX library is a popular Python library for constructing and manipulating graphs. It provides many features, such as: Code […]
Learn how to use TensorFlow 2.0 in this full tutorial course for beginners. This course is designed for Python programmers looking to enhance their knowledge and skills in machine learning and artificial intelligence. Throughout the 8 modules in this course you will learn about fundamental concepts and methods in ML […]
This is a beginners guide to NoSQL databases. We will talk about what they are, the advantages and disadvantages of NoSQL and relational databases and also the different types of NoSQL including document databases, column stores, key-value stores and graph databases NoSQL databases have grown significantly in popularity since their […]