A new package is designed to facilitate structured and reliable interactions with language models to generate concise summaries and extract key information from user-provided texts related to specific

🔸 Predicting House Prices with Linear Regression 🔸 This project predicts house prices using Linear Regression based on key features like square footage, bedrooms, bathrooms, lot size, and neighborhood quality. Built with Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data analysis and visualization.

📝 Summarize event descriptions effortlessly with eventlytics-summarizer, turning narratives into structured, machine-readable summaries and key points.

📊 Build a predictive model to estimate house prices using Linear Regression, transforming raw data into actionable business insights.