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1. Wine_Quality_Analysis Wine_Quality_Analysis Public

   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.

   Jupyter Notebook 1

2. Decision_Tree_Algorithms Decision_Tree_Algorithms Public

   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,…

   Jupyter Notebook 1

3. Ensemble_Models Ensemble_Models Public

   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…

   Jupyter Notebook 1

4. kNN_Recommender_System kNN_Recommender_System Public

   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 …

   Jupyter Notebook 9

5. Logistic_Regression_Heart_Disease Logistic_Regression_Heart_Disease Public

   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.

   Jupyter Notebook 1

6. Naive_Bayes_Spam_Mail_Detector Naive_Bayes_Spam_Mail_Detector Public

   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…

   Jupyter Notebook 1