R

R Algorithms in AI and computing forces working together: A small industry insight

When it comes to understanding computing processes, especially in today's front end and backend development world, most of the times…

5 years ago

Deep Learning & Parameter Tuning with MXnet, H2o Package in R

Introduction Deep Learning isn't a recent discovery. The seeds were sown back in the 1950s when the first artificial neural…

8 years ago

Practical Guide to Clustering Algorithms and Evaluation in R

Introduction Clustering algorithms are a part of unsupervised machine learning algorithms. Why unsupervised ? Because, the target variable is not…

8 years ago

How can R Users Learn Python for Data Science ?

Introduction The best way to learn a new skill is by doing it! This article is meant to help R…

8 years ago

Practical Guide to Logistic Regression Analysis in R

Introduction Recruiters in the analytics/data science industry expect you to know at least two algorithms: Linear Regression and Logistic Regression. I believe…

8 years ago

Exclusive SQL Tutorial on Data Analysis in R

Introduction Many people are pursuing data science as a career (to become a data scientist) choice these days. With the…

8 years ago

Beginners Tutorial on XGBoost and Parameter Tuning in R

Introduction Last week, we learned about Random Forest Algorithm. Now we know it helps us reduce a model's variance by…

8 years ago

Practical Tutorial on Random Forest and Parameter Tuning in R

Introduction Treat "forests" well. Not for the sake of nature, but for solving problems too! Random Forest is one of…

8 years ago

Beginners Guide to Regression Analysis and Plot Interpretations

Introduction "The road to machine learning starts with Regression. Are you ready?" If you are aspiring to become a data…

8 years ago