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This Project is my Entry to a Kaggle Competition 'House Prices: Advanced Regression Techniques'. The aim was to rank in the Top 5% in the Leaderboard, I achieved this rank by Using Model Stacking with Meta-Modelling and my final score was RMSLE = 0.0726 and I Ranked 277th out of 5130 Submissions
Diamond Prices is a small start-to-finish regression project that predicts diamond prices based on a selection of tabular data. Demonstrates model stacking.
In this project we can see in action and in detail a big part of the ML pipeline (data wrangling,model building, model evaluation) that comprises different algorithms and approaches such as Decision Trees (RPART), Linear Discriminant Analysis (LDA), Gradient Boosting Machne (GBM), Random Forest (RF) Support Vector Machine (SVM) with or without M…