Data Science Tutorials
Develop your data science skills with tutorials in our blog. We cover everything from intricate data visualizations in Tableau to version control features in Git.
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Python Turtle Graphics: A Fun Way to Learn the Basics
Discover how to create simple to complex graphics with Python's turtle module. Learn essential commands and build interactive projects that bring your ideas to life. Explore fractals, animations, and creative designs while mastering Python basics.
Oluseye Jeremiah
October 3, 2024
Fine-tuning GPT-4o Mini: A Step-by-Step Guide
Customize the GPT-4o Mini model to classify posts from Reddit into "stressful" and "non-stressful" labels.
Abid Ali Awan
October 2, 2024
Structural Equation Modeling: What It Is and When to Use It
Explore the types of structural equation models. Learn how to make theoretical assumptions, build a hypothesized model, evaluate model fit, and interpret the results in structural equation modeling.
Bunmi Akinremi
October 2, 2024
Jenkins for MLOps: A Complete CI/CD Tutorial
Learn how to install Jenkins on Windows, set up and run Jenkins agents and pipelines, and build MLOps projects with Jenkins pipelines from model training to model serving.
Abid Ali Awan
October 1, 2024
Moving Data with Python and dlt: A Guide for Data Engineers
Python dlt is a great choice for data engineers who want to move data fast and confidently. It integrates with almost any source and destination and lets you write your ELT/ETL pipelines quickly. This tutorial shows you how to control every step of the pipeline and work with local files, cloud, databases, and REST APIs.
Dario Radečić
October 1, 2024
Neo4j Tutorial: Using And Querying Graph Databases in Python
Learn to use Neo4j graph databases with Python: set up AuraDB, write Cypher queries, and ingest data. Master graph database concepts and optimize queries in this comprehensive guide.
Bex Tuychiev
September 30, 2024
Seaborn Color Palette: Quick Guide to Picking Colors
Use color_palette() for clear categorical separation, cubehelix_palette() for gradual sequential data, and diverging_palette() for clear divergence from a midpoint.
Vinod Chugani
September 30, 2024
Power BI Gantt Chart: A Complete How-To
Learn how to create, customize, and interpret Gantt charts in Power BI to track project timelines and tasks. Follow our detailed instructions and look at real examples.
Adejumo Ridwan Suleiman
September 30, 2024
A Guide to the DBSCAN Clustering Algorithm
Learn how to implement DBSCAN, understand its key parameters, and discover when to leverage its unique strengths in your data science projects.
Rajesh Kumar
September 29, 2024
Fine-tuning Llama 3.2 and Using It Locally: A Step-by-Step Guide
Learn how to access Llama 3.2 lightweight and vision models on Kaggle, fine-tune the model on a custom dataset using free GPUs, merge and export the model to the Hugging Face Hub, and convert the fine-tuned model to GGUF format so it can be used locally with the Jan application.
Abid Ali Awan
September 29, 2024
Simple Linear Regression: Everything You Need to Know
Learn simple linear regression. Master the model equation, understand key assumptions and diagnostics, and learn how to interpret the results effectively.
Josef Waples
September 28, 2024
Adagrad Optimizer Explained: How It Works, Implementation, & Comparisons
Learn the Adagrad optimization technique, including its key benefits, limitations, implementation in PyTorch, and use cases for optimizing machine learning models.
Satyam Tripathi
September 26, 2024