praveendecode

Airbnb_Analysis

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.

Airways-booking-analysis

Analyzed airline booking data to optimize routes, pricing, and passenger experience for improved airline operations and customer satisfaction

Data-Analysis

Implemented data analysis projects with interactive Streamlit UI for user-friendly data exploration and insights presentation

Data_Pipeline

Implemented ETL projects with interactive Streamlit UI for user-friendly data extraction, transformation, and loading tasks

Docker

Implemented real-world ML and NLP applications as Docker images, ensuring portability and scalability for seamless deployment and execution in diverse computing environments

Language_AI

Streamlit-based NLP toolkit: Perform Sentiment Analysis, Translation, Speech Synthesis, Summarization, and Question Answering tasks effortlessly through an interactive UI

ML_NLP_Projects

Showcasing a mix of Machine Learning (ML) and Natural Language Processing (NLP) projects to highlight my skills in different applications, algorithms, and techniques

Natural_Language_Processing

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

Product_Sentiment_Analysis

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

YouTube-Data-Harvesting-Warehousing

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

praveendecode/YouTube-Data-Harvesting-Warehousing

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

praveendecode/Airbnb_Analysis

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.

praveendecode/Language_AI

Streamlit-based NLP toolkit: Perform Sentiment Analysis, Translation, Speech Synthesis, Summarization, and Question Answering tasks effortlessly through an interactive UI

praveendecode/Natural_Language_Processing

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

praveendecode/Product_Sentiment_Analysis

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

praveendecode/Analytics-for-Hospitals-Health-Care-Data

Analytics for Hospitals' Health-Care Data

praveendecode/Data-Analysis

Implemented data analysis projects with interactive Streamlit UI for user-friendly data exploration and insights presentation

praveendecode/Docker

Implemented real-world ML and NLP applications as Docker images, ensuring portability and scalability for seamless deployment and execution in diverse computing environments

praveendecode/ML_NLP_Projects

Showcasing a mix of Machine Learning (ML) and Natural Language Processing (NLP) projects to highlight my skills in different applications, algorithms, and techniques

praveendecode/Data_Science_Projects

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

praveendecode/Datasets

Machine Learning Datasets

praveendecode/Docker-rfs

These visuals predict weekly sales prices for the upcoming year, serving as a valuable tool for forecasting

praveendecode/Docker_ML_NLP_Projects

Collection of Machine Learning (ML) and Natural Language Processing (NLP) projects showcasing a range of applications, algorithms, and techniques.

praveendecode/IMDB_Movie_Analysis

IMDB Movie Analysis

praveendecode/Industrial_Copper_Modeling

Enhance data analysis and machine learning skills in the 'Industrial Copper Modeling' project. Tackle complex sales data challenges, employ regression models for pricing predictions, and master lead classification for targeted customer solutions

praveendecode/iss-data-warehouse-mongodb-sql-project

Space Exploration Data Fusion : Unleashing the International Space Station Insights with MongoDB and SQL Integration

praveendecode/LLM_Finetuning

This repository has fine tuned LLM models for specific use cases

praveendecode/Machine_Learning

Showcasing a mix of Machine Learning (ML) projects to highlight my skills in different applications, algorithms, and techniques

praveendecode/News_Classifier

praveendecode/phonepe_pulse

Phonepe Pulse Data Visualization and Exploration: A User-Friendly Tool Using Streamlit and Plotly

praveendecode/praveendecode

praveendecode/PromptIQ

Effortlessly perform sentiment analysis, translation, speech synthesis, summarization, and Q&A tasks with an interactive UI using prompt engineering

praveendecode/QueryGenie

Q&A System Based On User Context

praveendecode/Retail-Revenue-Forecasting

Designed an end-to-end ML model pipeline, forecasting department-wide sales by accounting for holiday markdown effects, spanning data collection to inferencing.

praveendecode/Smart-Predictive-Modeling-for-Rental-Property-Prices

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.

praveendecode/spamalyzer

Spam Message Detection Using NLP

praveendecode/SummarixAI

Summarization of natural language context

praveendecode/TabulaQA

Table Based Question And Answering System

praveendecode/US_HPI_Prediction

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

praveendecode/Voice_AI

Creation of Speech to Text Model