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  • 1 год назадОпубликованоHarry's Data Journey

End-to-End ML/Data Science Project (with XGBoost) | Car Insurance Claims Prediction

My Code: %20Insurance%20Claim%20Prediction Dataset: 📖 Relevant Articles 📖 Stratified Sampling: KNN Imputation: @kyawsawhtoon/a-guide-to-knn-imputation-95e2dc496e ⏳ TIMESTAMPS ⏳ 00:00​​​ | Intro 01:03​ | Basic Data Cleaning 04:33 | Create Train/Test Split 07:45​ | Exploratory Data Analysis 10:19 | Advanced Data Cleaning & Preprocessing 18:10 | Classification Model Selection 20:16 | Feature Engineering 22:49 | Creating the Model Pipeline 26:56 | Model Tuning 29:13 | Classification Model Evaluation 30:28 | Regression 🔗 KEEP IN TOUCH 🔗 📸 Instagram: 💻 GitHub: 📝 LinkedIn: WHO AM I? My name is Harry 👋 I'm an Electro-Mechanical Engineer and aspiring Data Scientist, documenting my journey of trying to land my first job in Data Science. Come and follow along as I document my journey! Along the way, I'll be talking about my favourite learning resources, online course reviews and original tutorials. ⭐️ Tags ⭐️ #XGBoost #ML #DataScienceProjects #DataScience #DataScienceForBeginners #DataScienceProjects #pythonprogramming #Python #​SQL #DataAnalyst #Beginners​ #Tutorial​ #Data​ #Analysis​ ​ #Programming​ #Coding #DataJourney