Data Science with Python: Numpy
This is the 5th article in the ‘Data Science with Python’ series. In this article, we will learn about Arrays and the NumPy library of Python. Table of Contents Introduction […]
Meta’s Llama 3.1 Unique Feature
Exploring the performance of Meta Llama 3.1, released this week, has much buzz. I have tried my hands on it and was amazed by its performance. Key Observations I have
Feature Scaling: Normalization vs Standardization
Data Pre-processing is the first and crucial step in Machine Learning. Unfortunately, it is the most ignorant one. Feature scaling is one of the data pre-processing tasks. Let’s understand feature
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Fundamentals of Generative AI
In this article, we will set a strong foundation with the fundamentals of Generative AI. Generative AI is Generative Artificial intelligence, the innermost sub-field of Artificial Intelligence. The Venn diagram
Data Science with Python: Functions
Till now we have learned foundational topics of Data Science and basic data types and data structures of Python. Now, we are moving to basic Python functions. What is a
Data Science with Python: Basic Data Structures
In the previous article, we dive into the details of Data Types in Python. Now, let’s move to basic data structures in Python. Data Structures are building blocks for a
Data Science with Python: Basic Data Types
In previous articles, we have established the foundation of Data Science while learning linear algebra, Coordinate Geometry, Planes, and Matrices. In this article, we will learn about basic data types in
Foundations of Data Science: Matrix and Matrices
The next topic to learn is Matrices, to set up a strong foundation for Data Science. We have learned Linear Algebra, Coordinate Geometry, and Planes in previous articles. Introduction to Matrices
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Foundations of Data Science: Planes
We are setting up the foundation of Data Science with a brief introduction to Planes. This is the third article in the Data Science Foundation series. We have learned about