Update README.md

README.md

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+# Conculation
 
+This project brought together real-world data exploration, feature engineering, clustering, and predictive modeling into one complete workflow. 
+Through exploratory data analysis, I found the main factors that influence ride prices. 
+Feature engineering and clustering uncovered hidden patterns in the data and improved how the model learned. 
+I trained several regression and classification models, compared how they performed, and chose the best ones based on clear metrics. 
 
+Overall, this process deepened my understanding of practical machine-learning pipelines, from raw data to clear insights.
+It also showed me the value of experimentation, iteration, and careful evaluation.
 
 
 
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+# Video Link: https://www.loom.com/share/6a96400976ba486c89091b9d75738884