Unsupervised Learning: Project 1

Optimal location for a house based on objective urban data

Bu çalışmada küresel ölçekte, belirli bölgelerde ve özellikle Türkiye’de işsizlik, enflasyon, teknoloji ve tarım göstergeleri ele alınmıştır. Amaç, Türkiye’nin dünya ve bölge ortalamalarına göre nerede durduğunu basit ve anlaşılır bir şekilde ortaya koymaktır. EKONOMETRI 1 FINAL ODEVI: ABDÜLHAMİD PEKER 2310504051

A 5-slide presentation demonstrating the text prediction Shiny app, model design, deployment steps, and project conclusion for the Coursera Data Science Capstone.

This milestone report demonstrates the initial data exploration and preparation for the final prediction model. It includes loading and cleaning the dataset, basic summaries, handling missing values, and generating exploratory visualizations. The document also outlines the plan for building a predictive text model and deploying a Shiny application that will take an input phrase and predict the next word. This submission confirms that the project is on track for the final deliverable.

This is the assignment presentation

this is the week three grading exercise