Supervised Learning Classification using Support Vector Machine (SVM) 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…

Multi-Class Classification using Support Vector Machine (SVM) 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 elements of data used for predictive modelling. Read more…

Multi-Class Classification using Multiple KNN Algorithms 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 elements of data used for predictive modelling. Read more…

Multi-Class Classification using Linear & Quadratic Discriminant Analysis in Python

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

Multiclass Classification using Generalised Models: An example of Parameter Tuning in Python

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

IRIS Flower Classification using Scikit-Learn Generalised models: An example of Multiclass Classification in Python

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

Applied Machine Learning & Data Science Recipe in R: Comparing Different Machine Learning Algorithms

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…

An End-2-End Applied Machine Learning & Data Science Recipe in R: IRIS Flower Classification

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…