In the world of growing data, there is an increasing need to understand its meaning. Where can data be found? It could be a blog post, a tweet, a newspaper article, a research report, or even a book review. All of this generates a huge amount of text, which, if properly processed, can deliver a Read More »
Vector embeddings are a cornerstone in the field of machine learning, particularly in the realm of Natural Language Processing (NLP). When we interact with our AI-driven voice assistants or marvel at the prowess of language translation apps, it's the magic of vector embeddings working in the background, making it all possible. But what exactly are Read More »
As machine learning practitioners, we often find ourselves in the pursuit of that elusive "perfect model", the one that achieves the highest accuracy, the lowest error, or the best performance on your preferred metric. While a significant part of a model's performance lies in the features and the data itself, hyperparameters - those predefined values Read More »
Hello everyone! Today, we're going to look at how to build a simple data pipeline from Facebook to Amazon Web Services (AWS), using the Facebook Graph API and Amazon RDS. The Facebook Graph API is a powerful tool for gathering data from the Facebook platform, while Amazon RDS (Relational Database Service) is a service that Read More »
SQL is an immensely powerful tool that can handle and analyze vast amounts of data. However, as the complexity and volume of data grow, optimizing SQL queries becomes an essential task for maintaining system performance. This post will cover some advanced techniques to help you improve the efficiency of your SQL queries. Indexing One of Read More »
"The Game of Life" is a classic cellular automaton game invented by mathematician John Conway. There are no players per se - the game evolves based on its initial setup. Below is a simple Python code implementing the "Game of Life" with numpy & matplotlib: import numpy as np import matplotlib.pyplot as plt import matplotlib.animation Read More »
The groupby method in Pandas is one of the most powerful features, providing a way to group data based on some criteria, then apply calculations or transformations to each group. It's widely used in data analysis to aggregate, transform, and filter data. Let's go through several advanced techniques to utilize groupby function effectively: Grouping by Read More »