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Efficient YouTube data harvesting and warehousing with Python, SQL, MongoDB, and Streamlit, enabling seamless analysis and visualization for insightful decision-making in content management and audience engagement strategies
This project employs NLTK, Prowebscraper, and Python for sentiment analysis on online product reviews. Through web scraping, EDA, and NLP, it evaluates user satisfaction by comparing actual ratings and sentiment scores
Airbnb Data Analysis and Visualization project is a comprehensive data exploration and presentation effort. It involves data collection, preprocessing, ETL work, and the creation of an interactive Streamlit user interface. The project aims to provide insights and make Airbnb data more accessible and understandable.
Creation of Speech to Text Model
Designed an end-to-end ML model pipeline, forecasting department-wide sales by accounting for holiday markdown effects, spanning data collection to inferencing.
Explore the dynamics of US home prices over two decades using a robust Random Forest Regressor model. Achieving a 99.87% R2 score, uncover key factors influencing real estate trends
Repositories
68No description provided.
Creation of Speech to Text Model
This project employs NLTK, Prowebscraper, and Python for sentiment analysis on online product reviews. Through web scraping, EDA, and NLP, it evaluates user satisfaction by comparing actual ratings and sentiment scores
Designed an end-to-end ML model pipeline, forecasting department-wide sales by accounting for holiday markdown effects, spanning data collection to inferencing.
Airbnb Data Analysis and Visualization project is a comprehensive data exploration and presentation effort. It involves data collection, preprocessing, ETL work, and the creation of an interactive Streamlit user interface. The project aims to provide insights and make Airbnb data more accessible and understandable.
Explore the dynamics of US home prices over two decades using a robust Random Forest Regressor model. Achieving a 99.87% R2 score, uncover key factors influencing real estate trends
Efficient YouTube data harvesting and warehousing with Python, SQL, MongoDB, and Streamlit, enabling seamless analysis and visualization for insightful decision-making in content management and audience engagement strategies
Deployed Docker image for Language Translation
Predicting heart disease risk using machine learning with clinical and demographic features and explore the factors influencing heart health and build predictive models.
No description provided.
This project leverages Azure Data Factory to transform sales data from multiple rows into a columnar format, enhancing data analysis and reporting by pivoting product sales information based on unique IDs.
No description provided.
No description provided.
Streamlit-based NLP toolkit: Perform Sentiment Analysis, Translation, Speech Synthesis, Summarization, and Question Answering tasks effortlessly through an interactive UI
This repository has fine tuned LLM models for specific use cases
GitHub repository showcasing NLP projects: OCR, summarization, TableQA, question answering, speech and machine translation, synthesis, sentiment analysis, and topic modeling for comprehensive language processing applications
Effortlessly perform sentiment analysis, translation, speech synthesis, summarization, and Q&A tasks with an interactive UI using prompt engineering
Predict rental prices for residential properties using a data-driven model. The project focuses on providing accurate and reliable rent predictions based on historical rental data and property attributes.
No description provided.
IMDB Movie Analysis
Designed an end-to-end ML model pipeline, forecasting department-wide sales by accounting for holiday markdown effects, spanning data collection to inferencing.
Summarization of natural language context
Q&A System Based On User Context
Executed diverse ML and NLP initiatives, implementing robust data pipelines, thorough data analysis, and seamless Docker projects. Demonstrated versatility in handling complex tasks, ensuring successful project outcomes
Showcasing a mix of Machine Learning (ML) projects to highlight my skills in different applications, algorithms, and techniques
Showcasing a mix of Machine Learning (ML) and Natural Language Processing (NLP) projects to highlight my skills in different applications, algorithms, and techniques
Implemented real-world ML and NLP applications as Docker images, ensuring portability and scalability for seamless deployment and execution in diverse computing environments
Implemented data analysis projects with interactive Streamlit UI for user-friendly data exploration and insights presentation
Implemented ETL projects with interactive Streamlit UI for user-friendly data extraction, transformation, and loading tasks
Analytics for Hospitals' Health-Care Data