tushar2704
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tushar2704 / Everyday_Python
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.
Language:Python 12Streamlit Magic Cheat Sheets- All of Streamlit in one Streamlit App!(Available in English, Français & Deutsch.)
Language:Python 10This repository is the Ultimate guide to exploring and mastering Python Libraries & frameworks, collection of code and guide by me, Tushar!
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.
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.
Explore common ML algorithms, from scratch implementations to real-world use cases, Each algorithm is accompanied by clear explanations, code implementations, and real-world use cases, enabling you to grasp their underlying principles and apply them to different problem domains.
Language:Python 6Welcome 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.
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.
This repository showcases a collection of machine learning projects in various domains, demonstrating my skills and expertise as a data scientist and machine learning engineer. Each project provides step-by-step instructions, code, and visualizations to showcase the data analysis and modeling techniques employed.
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.
Language:Python 3GemmaChat- A smart chat with running Gemma model locally via Ollama on windows.
Language:Python 3Powerful RAG Applications
Language:Python 3This 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.
Language:Python 3Welcome 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.
Language:Python 2This 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.
Language:Jupyter Notebook 2Superstore 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,
This project aims to predict the quality of wines using various machine learning algorithms. It utilizes the MLflow platform to manage the end-to-end machine learning lifecycle, including data preprocessing, model training, hyperparameter tuning, and deployment on AWS EC2.
Language:CSS 2This project, I am constructing a predictive model that can prognosticate gold prices using historical price data and pertinent financial indicators.
Language:Jupyter Notebook 1All links in one place Streamlit Application
Language:Python 1The 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.
Language:Jupyter Notebook 1This 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.
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.
Language:Jupyter Notebook 1The Bank Accounts Management System is a portfolio project showcasing my skills in designing and developing a real-world application. This project simulates a system that manages bank accounts using PostgreSQL as the backend database. It aims to demonstrate my proficiency in database design, backend development, frontend development
Language:PythonThis project is to develop a robust model capable of accurately predicting energy consumption in buildings. This endeavor involves harnessing historical energy usage data in conjunction with diverse weather and environmental variables to construct an effective predictive model.
Language:Jupyter NotebookGreenSight - 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.
Language:PythonIn 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 extracts meaningful insights, trends, and patterns from the data, shedding light on various aspects of the movie industry. By leveraging this analysis, filmmakers, studios, and enthusiasts can gain valuable information to inform decision-making, understand audience preferences, and contribute to the creation of successful movies.
The Library Management System is a project aimed at creating an efficient system for managing a library's operations. This system allows users to issue books, search for different books and their titles, and provides detailed information about the books available in the library.
This project aims to leverage a diverse dataset encompassing economic indicators, demographic factors, and credit history to establish a predictive model. By establishing appropriate loan limits, financial institutions can enhance risk management, ensure responsible lending, and promote financial inclusivity.
Language:Jupyter NotebookThe New York Taxi Spending Analysis project is a data analysis and visualization project aimed at understanding and gaining insights into the spending patterns of taxi riders in New York City. This project utilizes publicly available data from New York City's Taxi and Limousine Commission to explore various aspects of taxi spending, such as fares
Language:Jupyter Notebook- Language:Python
This project aims to develop machine learning models to forecast PM2.5 levels in the Jeongnim-Dong area from 2018 to 2022.
Language:Jupyter NotebookThis project endeavors to create a recommendation system that suggests products to users based on their historical interactions and preferences.
Language:Jupyter NotebookThe Racoon Detection project focuses on using object detection techniques to identify and locate raccoons in images.
Language:Jupyter NotebookBuilding a sales forecasting model that predicts future sales for each Rossmann store. By leveraging historical sales data, store-specific information, and external factors
Language:Jupyter NotebookSummarizeIt is a powerful yet user-friendly Streamlit application designed to quickly generate concise summaries of text content. Whether you're dealing with lengthy articles, research papers, or any other form of textual data, SummarizeIt simplifies the process, providing a convenient way to distill information.
Language:Python