Tushar Aggarwal's Projects
Here I am including Streamlit Application
SummarizeIt 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.
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,
Synthetic_Images_with_DCGANs
Collection of Power BI projects and dashboards that demonstrate my skills and expertise in data visualization, business intelligence, and analytics using Power BI.
Taipy Cheat Sheets - All of Taipy with Taipy Application
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.
Titanic_Survivor_Predict_with_LightGBM
TradeAnalytica
About me! visit https://www.tushar-aggarwal.com/
This "Tushar_Portfolio" repository contains some of my portfolio projects
This project aims to solve the problem of identifying the toxicity of tweets using Natural Language Processing (NLP) techniques. Given the dataset `twitter_parsed_tweets`, I will implement a step-by-step NLP approach to classify tweets into binary values based on their toxicity.
Unicorn Companies Analysis
Happiness App
Which_Debts_Are_Worth_the_Bank's_Effort?
This project aims to predict the yield of wild blueberries using machine learning techniques. The dataset used for predictive modeling was generated by the Wild Blueberry Pollination Simulation Model, an open-source, spatially-explicit computer simulation program. The model allows for the exploration of various factors and predicts Yield
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.
Zillow-Housing-Prices-Prediction