An End to End Applied Machine Learning Recipe in R: Binary Classification using Bagging, Boosting and Neural Networks

An End to End Applied Machine Learning Recipe in R: Binary Classification using Bagging, Boosting and Neural Networks Read more…

Pima Indians Diabetes Classification using Neural Networks in R

Pima Indians Diabetes Classification using Neural Networks in R Read more…

An End to End Applied Machine Learning Recipe in R: Binary Classification using Bagging Ensemble Techniques

An End to End Applied Machine Learning Recipe in R: Binary Classification using Bagging Ensemble Techniques Read more…

An End to End Applied Machine Learning Recipe in R: Binary Classification using Boosting Ensemble Techniques

An End to End Applied Machine Learning Recipe in R: Binary Classification using Boosting Ensemble Techniques In this Data Science Recipe, the reader will learn: How to organise a Predictive Modelling Machine Learning project. Read more…

An End to End Applied Machine Learning Recipe in R: Multi-Class Classification using Xgboost and MLP

In this Data Science Recipe, you will learn: How to organise a Predictive Modelling Machine Learning project. What are the different steps in Predictive Modelling and Applied Machine Learning. How to summarise and present feature variables in Predictive Modelling (Descriptive statistics). Read more…

Multiclass Classification using Boosting Ensembles in R: An End-to-End Data Science Recipe

In this Data Science Recipe, you will learn: How to organise a Predictive Modelling Machine Learning project. What are the different steps in Predictive Modelling and Applied Machine Learning. How to summarise and present feature variables in Predictive Modelling (Descriptive statistics). Read more…

Multiclass Classification using Bagging Ensembles in R: An End-to-End Data Science Recipe

In this Data Science Recipe, you will learn: Different types of Machine Learning problems. How to organise a Predictive Modelling Machine Learning project. Different types of data used for predictive modelling. Different elements of data used for predictive modelling. Read more…

Multiclass Classification using Decision Tree in R

In this Data Science Recipe, you will learn: Different types of Machine Learning problems. How to organise a Predictive Modelling Machine Learning project. Different types of data used for predictive modelling. Different elements of data used for predictive modelling. Read more…

Supervised Learning (Classification) using KNN and LVQ in R: Comparing Different Machine Learning Algorithms with Parameters Tuning

In this Data Science Recipe, you will learn: Different types of Machine Learning problems. How to organise a Predictive Modelling Machine Learning project. Different elements of data used for predictive modelling. How to install R and MySQL. Read more…