Vignesh Prakash's repositories
Online-Shoppers-Purchasing-Intention
The data used in this analysis is an Online Shoppers Purchasing Intention data set provided on the UC Irvine’s Machine Learning Repository. The primary purpose of the data set is to predict the purchasing intentions of a visitor to this particular store’s website. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.
Seed-Dataset-Classification-and-Clustering-
The examined group comprised kernels belonging to three different varieties of wheat: Kama, Rosa and Canadian.
Red-Wine-Quality
Predicting the Quality of Red Wine using Machine Learning Algorithms for Regression Analysis, Data Visualizations and Data Analysis.
Telecom-Churn-Prediction
Customer churn is a major problem and one of the most important concerns for large companies. Due to the direct effect on the revenues of the companies, especially in the telecom field, companies are seeking to develop means to predict potential customer to churn. Therefore, finding factors that increase customer churn is important to take necessary actions to reduce this churn.
Titanic-Data-Set
EDA and Predicting survival on the Titanic Data Set using ML Techniques.