Data Science Tutorials

Learn how to use Python's pop() method to remove elements from lists and dictionaries, including how to remove items while iterating. Learn to avoid common errors like IndexError and KeyError.

This is a simple guide to fine-tuning Gemma 2 9B-It on patient-doctor conversations and converting the model into GGUF format so that it can be used locally with the Jan application.

A genetic algorithm is a search technique that mimics natural selection to find optimal solutions by iteratively refining a population of candidate solutions.

An AVL tree is a self-balancing binary search tree where the height difference between the left and right subtrees of any node is at most one, ensuring efficient operations.

Discover how OLAP (Online Analytical Processing) enhances data analysis by providing rapid, multidimensional exploration for informed business decision-making.

Get started with the new Llama models and customize Llama-3.1-8B-It to predict various mental health disorders from the text.

ScrapeGraph AI is an open-source tool that simplifies web scraping by automatically extracting structured data from websites, allowing users to interact with and retrieve the data through simple prompts.

Explore cosine distance and cosine similarity. Discover calculations, applications, and comparisons with other metrics. Learn to implement in R and Python using numpy.

Enhance your SQL skills with the SQL PIVOT operator. Learn to convert rows into columns to create pivot tables in SQL Server and Oracle.

Discover the power of the SQL SUM() function for data aggregation. Learn how to implement rolling sums, cumulative sums, and sum multiple columns effectively.

Learn Stochastic Gradient Descent, an essential optimization technique for machine learning, with this comprehensive Python guide. Perfect for beginners and experts.

Discover three straightforward techniques to round up numbers in Python: using math.ceil() from the math module, using the decimal module, and NumPy.