Generative AI Projects with PandasAI

Name: Generative AI Projects with PandasAI
Rating: 4.3 (8 reviews)

Learn how to perform data science projects with Ollama, LangChain, Streamlit and modern APIs using Pandas AI

Created byTirendaz Academy

Last updated 5/2024

English

What you'll learn

End-to-end genearative AI projects
How to use PandasAI?
How to analyze data with PandasAI?
How to visualize data with PandasAI?
How to work with PandasAI using Ollama?
How to work with databases with PandasAI?
How to build apps with PandasAI and Streamlit?
How to build chatbots with modern api tools?

Course content

1 section • 8 lectures • 1h 47m total length

Getting Started with PandasAI7:43
In this video, we'll cover how to perform data analysis with PandasAI and Ollama using Python. At the end of the video, with generative AI, you'll learn data analysis projects locally and for free.
Data Analysis with PandasAI using Groq API11:21
In this video, we'll cover how to perform data analysis with PandasAI using the Groq API key. At the end of the video, with generative AI, you'll learn data analysis projects for free.
Using PandasAI with Ollama Locally11:19
In this video, I'll show you how to create a data analysis app with Streamlit, Ollama, PandasAI locally and for free using Python.
Data Visualization with PandasAI12:00
In this video, I'll show you how to chat with your data and create an app using PandasAI, Streamlit, and Claude 3 Haiku. Happy learning.
Building an App with PandasAI using Llama-313:27
In this video, we'll cover how to perform data analysis and visualization with local Meta Llama 3 using Pandas AI and Ollama for free.
Data analysis with PandasAI Agent16:19
In this video, we'll cover how to perform data analysis and visualization with local Meta Llama 3 using Pandas AI agent and Ollama for free.
Working with a MySQL database using PandasAI15:34
In this video, we'll cover how to analyze data in a MySQL database with local Llama 3 using Pandas AI, Ollama and Streamlit for free.
Building an App for Data Analysis with GPT-4o using Streamlit19:35
In this video, we'll discuss how to analyze data with GPT-4o and PandasAI and build an app with Streamlit. At the end of the video, you will see the power of the GPT-4o for data analysis and visualization.

Requirements

Python
A computer with at least 8 GB RAM

Description

Implementing data science projects is a challenge. When it comes to data manipulation and data analysis, as you know, pandas is king. Pandas AI is a game changer in data science that you can think of as a smart version of pandas.

Pandas AI is nothing but a Python tool that allows you to explore, clean, and analyze your data using generative AI. That means that you can talk to your data using this tool. You can think of Pandas AI as a smart version of pandas.

Let me explain PandasAI features. This tool allows you to ask questions to your data in natural language. Using this tool, you can analyze your data and generate graphs and charts by talking to your dataset. Plus, PandasAI helps you clean your data by addressing missing values. Thus, you can improve the quality of your data. With this library, you can connect to various data sources like CSV, XLSX, PostgreSQL, MySQL, BigQuery, Databrick, Snowflake, etc. and analyze data in these sources.

In this course, we'll cover how to use PandasAI step-by-step. At the end of this course, you can see the power of the PandasAI for data science. To show this, we'll perform data science projects with modern libraries such as Ollama, Langchain, and Streamlit from scratch.

See you in the course.

Who this course is for:

Data scientists
Machine learning engineers
AI engineers
Developers
Generative AI enthusiasts