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House_price_regression
House_price_regression PublicThis project uses the Ames Housing dataset to predict house prices based on 79 features like GrLivArea and OverallQual. Data preprocessing included handling missing values, encoding, normalization,…
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Predictive-Modelling-for-Traffic-Accident-severity-in-the-US-using-Machine-Learning-
Predictive-Modelling-for-Traffic-Accident-severity-in-the-US-using-Machine-Learning- PublicThis project focuses on predictive modeling for traffic accident severity in the US using machine learning. Leveraging the Kaggle US Accidents dataset, the objective is to analyze accident trends a…
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Predicting-Marketing-Targets-in-Banking-Final-Version_ML
Predicting-Marketing-Targets-in-Banking-Final-Version_ML PublicThis project employs machine learning algorithms, including Logistic Regression, Naïve Bayes, LDA, QDA, Decision Trees, and KNN, to predict customer term deposit subscriptions using demographic and…
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