Stars
Several wines are analyzed in order to gain insights on what features affect a wine's rating using logistic regressions models, kNN algorithms, topic modeling, LDA, and Gensim models.
The objective of this project is to build a kNN-based recommender system in order to predict the top 5 movie based on a given movie, in this case "The Post". As there is no need for classification …
This project employs a Logistic Regression model with the objective to predict the risk of Cardiovascular Disease and identify factors that increase may increase risks.
In this project, four predictive machine learning models are applied to one dataset in order to select the model that returns the most accurate predictions. Different values for the hyperparameters…
This project aims to build various Decision Tree Classifier Models to predict the income group of people along with seven demographic variables. Out of all decision trees, the best model is chosen,…
The model is trained with a set of emails labelled as either from Spam or Not Spam. There are 702 emails equally divided into spam and non spam category. Next, we shall test the model on 260 emails…
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