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.

This repository is the Ultimate guide to exploring and mastering Python Libraries & frameworks, collection of code and guide by me, Tushar!

I explore and analyze the complex landscape of international debt, aiming to gain insights into the debt trends and their impact on economies worldwide.

101 Super Streamlit Applications-This interactive web application collection serves as a showcase of my data science and machine learning projects. With a passion for data-driven insights and a knack for creating engaging data applications, I am excited to present this portfolio as a demonstration of my skills and expertise.

Classifying whether the given event was a signal or a background noise in the process of decay for Higgs particle acceleration.

The Racoon Detection project focuses on using object detection techniques to identify and locate raccoons in images.

Chuck ChatUI with Langchain,Groq,Llama3,Chainlit

This repository contains the code and resources for predicting the duration of bike trips in Seoul, South Korea. Whether you're a data enthusiast, a bike-sharing enthusiast, or simply curious about predicting bike trip durations, this project has something for you.

In this project, I am analyzing hiring process data to gain insights from about records of previous hires within a multinational company. By analyzing this data, I am aiming to uncover valuable trends and information about the company's hiring process, which can contribute to making informed decisions and improvements for the future.

This project aims to develop machine learning models to forecast PM2.5 levels in the Jeongnim-Dong area from 2018 to 2022.

The Road_Traffic_Severity repository is a comprehensive and sophisticated solution for analyzing and predicting the severity of road traffic incidents. It is designed to aid traffic management authorities, transportation planners, and researchers in understanding the factors contributing to road accidents and estimating their potential impact.

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

Welcome to the Consumable Sales Dashboard, a powerful and intuitive data visualization tool built using Power BI. This dashboard offers a comprehensive view of sales data for consumable products, allowing you to quickly and easily analyze performance and identify trends.

This project aims to revolutionize the way banks market to their customers by leveraging machine learning techniques to segment customers based on their account history, credit scores, and demographics.

Getting a rapid understanding of the context of a patient’s overall health has been particularly important during the COVID-19 pandemic as healthcare workers around the world struggle with hospitals

This project aims to analyze the historical trends of Netflix stock prices using Python and data analysis techniques.

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

Repository is designed to help you strengthen your SQL query skills by providing a collection of common and interview-based SQL queries for practice.

All links in one place Streamlit Application