00BondViz

Astro_Apirequest

Using astro to get data.

Data-Cleaning-With-Py

Data cleaning is crucial because it ensures accuracy and reliability in analysis. Flawed data can lead to incorrect conclusions and decision-making. Cleaning helps remove errors, inconsistencies, and outliers, improving the overall quality of the dataset for meaningful insights.

Data_Generation_using_Streamlit

A simple Data Generator App with Streamlit and Python Faker library.

Extracting_Tables_From_Images_using_Deep_Learning

Twitter_Data_Extraction

This code gives one an introduction on the libraries to use to extract data from a social media platform. With aims of using Airflow to deploy our code on EC2 machine and then we will sink our data into Amazon S3.

Using-Deep-Learning-to-Extract-Text-and-convert-to-CSV

Using-Generative-Ai-to-Extract-Text-From-Image

generative models enhance data visualization, helping analysts present findings in a more engaging and comprehensible manner. The ability to generate realistic scenarios also aids in predictive analysis, providing analysts with a broader understanding of potential outcomes. For this use case we used generative AI to extract text from images.

Using-Venna-AI

Vanna is an MIT-licensed open-source Python RAG (Retrieval-Augmented Generation) framework for SQL generation and related functionality.

00BondViz/Astro_Apirequest

Using astro to get data.

00BondViz/Data-Cleaning-With-Py

Data cleaning is crucial because it ensures accuracy and reliability in analysis. Flawed data can lead to incorrect conclusions and decision-making. Cleaning helps remove errors, inconsistencies, and outliers, improving the overall quality of the dataset for meaningful insights.

00BondViz/Data_Generation_using_Streamlit

A simple Data Generator App with Streamlit and Python Faker library.

00BondViz/Extracting_Tables_From_Images_using_Deep_Learning

00BondViz/Twitter_Data_Extraction

This code gives one an introduction on the libraries to use to extract data from a social media platform. With aims of using Airflow to deploy our code on EC2 machine and then we will sink our data into Amazon S3.

00BondViz/Using-Deep-Learning-to-Extract-Text-and-convert-to-CSV

00BondViz/Using-Generative-Ai-to-Extract-Text-From-Image

generative models enhance data visualization, helping analysts present findings in a more engaging and comprehensible manner. The ability to generate realistic scenarios also aids in predictive analysis, providing analysts with a broader understanding of potential outcomes. For this use case we used generative AI to extract text from images.

00BondViz/Using-Venna-AI

Vanna is an MIT-licensed open-source Python RAG (Retrieval-Augmented Generation) framework for SQL generation and related functionality.