AirBNB Price Prediction Project Predicting Airbnb house prices in Barcelona using R and the tidymodels framework.
View the Live App on Render
Introduction This project leverages R and the tidymodels ecosystem to predict Airbnb house prices in Barcelona. The workflow includes data cleaning, feature engineering, model selection, and evaluation, aiming to provide actionable insights for property owners and speculators.
Key Questions Addressed What are the main factors influencing Airbnb listing prices in Barcelona?
Apartment Price Estimator A Streamlit web application for analyzing French apartment prices. This interactive tool helps users determine if properties are underpriced or overpriced based on machine learning predictions.
View the Live App on Render
Introduction This project uses machine learning to predict apartment prices in France and helps users identify underpriced or overpriced properties. The intuitive interface allows users to easily explore properties by location, filter by characteristics, and see detailed price analyses through interactive visualizations.
News Classifier Check out my live deployed project:
👉 News Classifier
Project Overview This application uses Natural Language Processing (NLP) to automatically categorize Google News headlines into different topics. The system analyzes the content of headlines and assigns them to the most relevant category.
Technologies Used Flask: Lightweight web framework for Python Natural Language Processing: Text analysis and classification techniques Pre-trained Model: ML model trained on news headlines Render: Cloud hosting platform for the application How It Works The application fetches recent headlines from Google News Each headline is processed and analyzed using NLP techniques The pre-trained model predicts the most likely category Results are displayed in an intuitive interface Try It Yourself Visit news-classifier.