Welcome to Everyday Python Sheets – your go-to resource for everyday Python cheat sheets, pro tips, interview questions, Python one-liners, and Python data structures. Whether you're a beginner looking to learn Python or an experienced developer seeking quick reference materials, this Streamlit application has got you covered.

This repository showcases my skills and experience in the field of data analysis. Here, you will find a collection of projects and analyses that demonstrate my ability to extract insights and make data-driven decisions.

Streamlit Magic Cheat Sheets- All of Streamlit in one Streamlit App!(Available in English, Français & Deutsch.)

This project aims to analyze and visualize the sales data for Retail and Food Services in the U.S.A. The data is sourced from the U.S. government website and has been processed using SQL to create a database for easy management and analysis.

Superstore Sales with Streamlit is a data visualization and analysis project that uses the Streamlit framework to create an interactive web application for exploring and analyzing sales data from a superstore. This project aims to provide an easy-to-use interface for users to gain insights into sales trends, Sales performance, product performance,

Powerful RAG Applications

This repository contains valuable insights and visualizations derived from an extensive HR dataset spanning from 2000 to 2020, with over 22,000 rows.

This template provides a solid foundation for your projects, incorporating best practices and a streamlined structure. Whether you're a beginner or an experienced developer, this template will help you kickstart your projects in a Taipy manner.

GreenSight - Analyze and evaluate Environmental, Social, and Governance (ESG) factors for companies. The application provides insights into a company's ESG performance, trends, and impact, offering a comprehensive view of its sustainability practices.

Chuck ChatUI with Langchain,Groq,Llama3,Chainlit

Antenna - Text & Vision Chat with Gemini Pro

This project predicts the sales demand for various items in different stores based on historical sales data. The objective is to develop a machine learning model that can provide accurate forecasts for future sales of each store-item combination.

HuberMind - A Andrew Hyberman's Youtbe Videos Blog Generated & Download it in PDF with AI Agents, powered by Gemini, CrewAI & Towards-GenAI

This repository contains valuable insights and visualizations derived from an extensive Pizza dataset with over 48,000 rows.

Welcome to my personal Power BI portfolio repository! Here you will find a collection of Power BI projects and dashboards that demonstrate my skills and expertise in data visualization, business intelligence, and analytics using Power BI.

Welcome to the Mixtral 8x7B offloading demo repository! This project aims to demonstrate the seamless execution of Mixtral-8x7B models on Colab or consumer desktops.

Collection of personal SQL projects and queries I've worked on, showcasing my skills and expertise in database management, data analysis, and data manipulation using SQL.

Building a sales forecasting model that predicts future sales for each Rossmann store. By leveraging historical sales data, store-specific information, and external factors

This project endeavors to create a recommendation system that suggests products to users based on their historical interactions and preferences.

GemmaChat- A smart chat with running Gemma model locally via Ollama on windows.