Machine Learning… Demystifying Data Scientist Salaries using Random Forrest Algorithm 5 Feb 2024 Introduction Data scientists are in high demand, and their salaries reflect that. But what factors truly influence how much they earn? Our analysis of a rich dataset sheds light on…
Analytics… EMPLOYEE QUITTING THEIR JOB PREDICTION 8 Jan 20239 Jan 2023 Introduction: EMPLOYEE QUITTING THEIR JOB PREDICTION It's entirely feasible that someone on your team may depart in the near future given that over four million people will leave their employment…
Analytics… Consumer Sentiment Analysis 24 Jan 2022 INTRODUCTION Sentiment analysis is an approach to natural language processing that identifies the emotional tone behind a body of text. This is a popular way for organizations to determine and…
Analytics… Predicting Job-Switching Behaviour by Employees through Random Forest Model 29 Nov 2021 Introduction In a Harvard Business Review Article of 2012, Data Scientist was described as the most desired job of the 21st century. Given the buzz and craze surrounding data science…
Analytics… Data Analytics in Formula 1 16 Nov 202116 Nov 2021 Sports are one of the few things which are enjoyed by people of all ages. People passionately supporting their teams and wanting their teams to succeed has always been…
Analytics… IMPLEMENTING DECISION TREE AND RANDOM FOREST ON PYTHON 28 Dec 202011 Jan 2021 Decision tree is one of the most important models as it lays out an important concept that is used for other machine learning models like Random Forest, XGBoost, bagging &…
Analytics… FIFA 20 – Part ii: One for the money 2 Oct 20203 Oct 2020 We are back with our second part of the blog on FIFA game analysis. Here, we will capture some of the intriguing questions for the FIFA fans like how to…
Analytics… Developing Random Forest Classification in R 9 May 20209 May 2020 In supervised machine learning algorithms, Random Forest stands apart as it is arguably the most powerful classification model. When Microsoft developed their X-box game which enables you to play as…