Prediction of Quality of Wine We always thought, that “How we can predict quality of Wine?”, in this project we are going to solve that question only. We will be using a Red-Wine data set being provided on Kaggle, can be found here. It contains 12 columns or features describing the chemical composition of Wine […]
Category: DS Languages
Clustering using R
Clustering using R Hi MLEnthusiasts! Today, we will implement a case-study involving Credit Card Dataset for Clustering using R. We will discover customer segments to define marketing strategy. Clustering using R – The dataset The dataset has been taken from Kaggle and the dataset has the following variables: – CUST_ID – BALANCE – BALANCE_FREQUENCY – […]
Data Cleaning
Data cleaning – Introduction While doing data data analysis, before analyzing the data for any kind of resultant, we most perform the most essential step, that is, Data Cleaning. Because when we get the data it may not be ready for complete analysis, like there might me missing values which will make our judgement wrong, […]
Random Forests Using R
Random Forests using R: Titanic Case Study Random Forests using R: Introduction Hi MLEnthusiasts! Today, we will learn how to implement random forests using R that too on a well-known dataset, The Titanic Dataset! So, our analysis onvolves getting some information about the dataset, like what all variables are in our dataset and what […]
Decision Trees Using R
Decision Trees using R: An Introduction Hi MLEnthusiasts! Today, we will dive deeper into classification and will learn about Decision trees using R, how to analyse which variable is important among many given variables and how to make prediction for new data observations based on our analysis and model. Again, we will continue working on […]