Data Science Tutorials

A winsorized mean reduces the influence of outliers by capping extreme values at specific percentiles, preserving the overall structure of the dataset. Read further to learn how to calculate the winsorized mean using Python for hands-on practice.

Learn how the AUC-ROC curve assesses binary classification models, focusing on performance across thresholds, particularly in imbalanced datasets. Use Python’s libraries to compute AUC values and compare classifiers in one workflow.

Learn how to set up AWS Glue, create a crawler, catalog your data, and run jobs to convert CSV files into Parquet format, optimizing your ETL processes.

Learn the key components of the ARIMA model, how to build and optimize it for accurate forecasts in Python, and explore its applications across industries.

Reflection Llama-3.1 70B, trained with Reflection-Tuning, claims to surpass GPT-4o and Claude 3.5 Sonnet but has faced reproducibility and verification issues so far.

Learn how to effectively use VBA in Excel to automate tasks, create macros, and enhance your data processing skills with practical examples and best practices.

Discover how CatBoost simplifies the handling of categorical data with the CatBoostClassifier() function. Understand the key differences between CatBoost vs. XGBoost to make informed choices in your machine learning projects.

Explore how using a SQL alias simplifies both column and table names. Learn why using a SQL alias is key for improving readability and managing complex joins.

Learn to build a RAG application with Llama 3.1 8B using Ollama and Langchain by setting up the environment, processing documents, creating embeddings, and integrating a retriever.

Simplify your data models with Excel’s Goal Seek, one of its powerful What-If Analysis tools. Solve real-world problems like loan payments and revenue targets.

Use the tabulate library in Python to create well-formatted tables. Learn about its advanced features and options for customizing table appearance.

Learn how Chebyshev distance offers a unique approach to spatial problems. Uncover its applications in robotics, GIS, and game development with coding examples in Python and R.