Mercedes Benz Greener Manufacturing Project | End-to-End Machine Learning Project

🌐 Welcome to PrecisionDataScience! 📊 In today's video, we're diving into Mercedes Benz Greener Manufacturing dataset.
This dataset offers a playground for XGBoost as a regression model and PCA as Dimensionality reduction technique, to test its the capabilities to make accurate predictions. We'll unravel the nuances of this dataset, dissecting its parameters with PCA technique to make accurate predictions.
📈 Join us as we navigate through the features of the Mercedez Benz Greener Manufacturing dataset, understanding how XGBoost Regressor can be used to predict the time taken to pass the car testing, based on 376 encoded features. Our goal is to equip you with a solid understanding of XGBoost Regressor's application in regression analysis and PCA as Dimensionality reduction technique, empowering you to leverage this knowledge in your own data science endeavors.
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Channel: @precisiondatascience #DataScience #MachineLearning #XGBoost #MercedesBenzGreenerManufacturing #Kaggle #PCA #DimensionalityReduction 🌐🔍

[@dipaliratkalle3506]

Very well explained!!

[@precisiondatascience]

Thank you Deepali 😊

[@michaeljayanth6182]

Could u plz provide data set link plz

[@precisiondatascience]

www.kaggle.com/competitions/mercedes-benz-greener-manufacturing/overview Here is the dataset link.