Data Science Tutorials

Dive into Explainable AI (XAI) and learn how to build trust in AI systems with LIME and SHAP for model interpretability. Understand the importance of transparency and fairness in AI-driven decisions.

Explore how AI agents Auto-GPT, AgentGPT & BabyAGI are revolutionizing autonomous AI systems. Learn about their applications, limitations & more.

Discover how to use ChatGPT for marketing, including some example prompts to get you started.

In this tutorial, you'll learn how to work with the OpenAI Python package to programmatically have conversations with ChatGPT.

Learn about Excel's various data visualization options that can help you analyze and interpret your data.

LangChain is a framework for including AI from large language models inside data pipelines and applications. This tutorial provides an overview of what you can do with LangChain, including the problems that LangChain solves and examples of data use cases.

Discover the powerful capabilities of OpenAI Whisper Python API for transcription and translation. It comes with multi-language support and prompt enhancement for accurate transcription.

This tutorial explores how to create and customize time series line plots in matplotlib.

Learn how to perform t-tests in Python with this tutorial. Understand the different types of t-tests - one-sample test, two-sample test, paired t-test, and Welch’s test, and when to use them.

This hands-on tutorial dives deep into creating and customizing line plots with Matplotlib, a powerful data visualization library in Python.

Learn how to create highly interactive and visually appealing charts with Python Plotly Express.

Learn how to use ChatGPT in a real-life end-to-end data science project. We will use it for project planning, data analysis, data preprocessing, model selection, hyperparameter tuning, developing a web app, and deploying it on the Spaces.