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60k-stack-overflow-classification

This project successfully developed a deep learning model using bidirectional LSTM, achieving an impressive 83% test accuracy and 96% train accuracy in classifying Stack Overflow questions into high-quality, low-quality requiring edits, and low-quality closed categories.

ai-face-recognition

An advanced AI Face Recognition system using Convolutional Neural Networks, showcasing high accuracy and innovative implementation for diverse applications.

airbnb-tableau-dashboard

Developed a comprehensive Tableau dashboard to analyze Airbnb rental prices, effectively visualizing average prices, price variations by number of bedrooms, and pricing trends across different zip codes.

bird-strike-analysis-database

Comprehensive database project for analyzing bird strike incidents on aircraft, involving data loading, SQL querying, and analytics using MySQL/MariaDB and R.

black-friday-sales-prediction-using-machine-learning

Machine learning-driven project for predicting Black Friday sales, providing insights into consumer behavior and enhancing business strategies.

blackjack-card-game

A Blackjack Card game created in python using tkinter.

boston-crime-analysis

An analytical exploration of Boston's crime data, using EDA and time-series modeling to predict crime patterns and aid in better decision-making for public safety.

cifar-10-cnn

Advanced image classification project on the CIFAR-10 dataset, leveraging deep learning techniques to distinguish between various image categories.

cricket-player-performance-dashboard

An insightful Power BI dashboard providing detailed analysis of cricket players' performances, designed for cricket analysts and enthusiasts.

hotel-reservation-gui

A user-friendly GUI system for efficient hotel reservation management, built to enhance the booking experience for hotels and customers alike.

kaggle-datasets

mlproject-copy

parv212

parv212.github.io

A professional portfolio website showcasing personal details, career achievements, and educational background.

predicting-patient-outcomes-from-biosignal-and-ehr-data

Developed three predictive models using the VitalDB dataset to forecast patient diagnoses, ICU length of stay, and mortality rates. Improving the accuracy of the patient diagnosis model by 10%, and achieving high accuracy rates with models for ICU stay (83%) and mortality (96%).

pubmed-xml-file-analysis

A detailed project demonstrating the extraction, transformation, and loading of XML data into relational and analytical databases, using SQLite and MySQL.

social-distance-surveillance-system-for-public-places

An innovative AI-powered system to monitor and enforce social distancing in public and office spaces, utilizing advanced computer vision techniques.

stock-analysis

In this project I have analyzed various stocks of different companies and commodities. Using matplotlib, scikit-learn, numpy, etc.

stock-market-real-time-analysis

I executed an End-To-End Data Engineering Project on Real-Time Stock Market Data using Kafka.

student-performance-analysis-and-prediction

Analyzing and predicting student performance through data-driven insights and machine learning models, aimed at enhancing educational outcomes and strategies.

tokyo-olympics-azure-data-engineering-project

Developed a data pipeline in Azure to process Tokyo Olympics data, involving data ingestion, transformation with Databricks and PySpark, and analysis using Azure Synapse Analytics and SQL.

topic-focused-crawler-and-search

Developed a focused web crawler for Apple technology content, collecting 4000 documents into an Elastic Search cluster with prioritization based on keywords and in-link counts, using Beautiful Soup for data processing.

topic-modelling

twitter-data-pipeline

Efficiently collecting data from the Twitter API and storing it in a GCS bucket. With a custom Python script ensuring data reliability, the pipeline streamlined the process, enabling accessible and dependable Twitter insights.