Data Science Tutorials

Master the art of using VLOOKUP() with multiple criteria in Excel. Explore advanced techniques like helper columns and the CHOOSE() function.

Explore how to master hyperparameter tuning with Optuna. Learn how to define hyperparameters, set up your objective function, and utilize sampling and pruning techniques in deep reinforcement learning.

Learn how to perform data and model validation to ensure robust machine learning performance using our step-by-step guide to automating testing with DeepChecks.

Discover how to enhance PostgreSQL with vector search capabilities using pgvector. This tutorial guides you through installation, basic operations, and integration with AI tools.

Learn why git pull --force isn’t the best way to overwrite a local branch with the remote version, and discover the proper method using git fetch and git reset.

Codestral Mamba is a 7-billion parameter code generation model by Mistral AI, utilizing the Mamba architecture for efficient and extended context coding.

Learn how to use DECODE() in Oracle for conditional logic in data transformation. Compare DECODE() to the CASE WHEN statement in performance and behavior.

Learn how to append key-value pairs in a Python dictionary using methods such as square bracket notation, .update() for bulk additions, and .setdefault() for conditional inserts.

To calculate standard deviation in Excel, enter your data into a range of cells and use either =STDEV.S() for sample data or =STDEV.P() for population data.

Learn how Apache Iceberg simplifies data management in lakes and lakehouses. Discover its key features, get step-by-step setup instructions, and optimize your data workflows!

Explore Azure Blob Storage and Azure Files, essential for efficient data management. Learn about features, benefits, and use cases. This guide covers setting up Azure Storage accounts, managing, and securing data.

Learn how to build a machine learning model monitoring system using Grafana, Prometheus, Flask, and Docker.