A Review of Popular Data Mining Techniques in Multiclass Classification using Python

In this Data Science Recipe, you will learn: How to organise a Predictive Modelling Machine Learning project step by step. What are the different steps in Predictive Modelling and Applied Machine Learning. Read more…

A Comparative Study of Boosting Algorithms : Multiclass Classification using GradientBoost, XGBoost, CatBoost and LightGBM in Python

In this Data Science Recipe, you will learn: How to organise a Predictive Modelling Machine Learning project step by step. What are the different steps in Predictive Modelling and Applied Machine Learning. Read more…

A Comparative Study on SKLEARN Neural Network, Bagging & Boosting Algorithms: IRIS Flower Classification in Python

In this Data Science Recipe, you will learn: How to organise a Predictive Modelling Machine Learning project step by step. What are the different steps in Predictive Modelling and Applied Machine Learning. Read more…

Multiclass Classification using Neural Networks 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 Voting Ensembles in Python: An Application of sklearn VotingClassifier

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

Multiclass Classification using Boosting Ensembles in Python: An Application of AdaBoost and GradientBoosting

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

Multiclass Classification using Decision Tree, Random Forest and Extra Trees Algorithm in Python

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

Supervised Learning using Bagging (Ensemble Technique) in Python

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

Multiclass Classification using Naïve Bayes Classifiers in Python

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