Dealing with a lot of dimensions can be painful for machine learning algorithms. High dimensionality will increase the computational complexity, increase the risk of overfitting (as your algorithm has more degrees of freedom) and the sparsity of the data will grow. Hence, dimensionality reduction will project the data in a ...

Machine learning is often split between three main types of learning: supervised learning, unsupervised learning, and reinforcement learning. Knowing the differences between these three types of learning is necessary for any data scientist. The big picture The type of learning is defined by the problem you want to solve and ...

Shiny is an R Package to deploy web apps using an R backend. Let’s face it, Shiny is awesome! It brings all the power of R to a simple web app with interactivity, user inputs, and interactive visualizations. If you don’t know Shiny yet, you can access a ...

Welcome to this new post of Machine Learning Explained.After dealing with overfitting, today we will study a way to correct overfitting with regularization. Regularization adds a penalty on the different parameters of the model to reduce the freedom of the model. Hence, the model will be less likely to ...

Welcome to this new post of Machine Learning Explained.After dealing with bagging, today, we will deal with overfitting. Overfitting is the devil of Machine Learning and Data Science and has to be avoided in all of your models. What is overfitting? A good model is able to learn the ...

Bagging is a powerful method to improve the performance of simple models and reduce overfitting of more complex models. The principle is very easy to understand, instead of fitting the model on one sample of the population, several models are fitted on different samples (with replacement) of the population. Then, ...

The French presidential election has been over for a week with the win of Emmanuel Macron. During the weeks between the two rounds, Twitter has been really active on French election. In this post, we will see how the French campaign was perceived on Twitter through three events and using ...