Feature engineering is a crucial step in the data science process, often making the difference between a good model and a great one. It involves transforming raw data into meaningful features that can improve the performance of predictive models. For those working in R, the […]
What is redaction? redaction is the blacking out or deletion of text in a document. It is intended to allow the selective disclosure of information in a document while keeping other parts of the document secret. It is common within court documents and in the […]
Remote data scientists is a group of people working in the field of data science which do their work (totally) remotely. I recently started this group since it’s a good way to connect with other data scientists that are in a similar situation. Most of […]
Since a couple of years I am using the shiny package in R for interactive data visualization. It started as a tool for exploratory analysis but it’s getting more popular and it has more use cases now. For example I have helped a client with […]
Recently, I decided to migrate my shiny apps to amazon webservices. Most of them were running on the shinyapps.io platform. Why did I decide to migrate my apps? In the free version of shinyapps it is only possible to deploy 5 apps which is not […]
Recently, I got the ‘top rated’ status on Upwork. Upwork is a global freelancing platform where business and freelancers can meet and work remotely on projects. You might question what is this top rated status is all about? Advantages Well, this status has a couple […]
Reinforcement learning is an area in Machine Learning which is quite different than supervised or unsupervised learning. This is because it is not about building a model based upon a dataset with given features and label(s). It is about software agents that take actions in […]
A while ago, I was asked to write some data science articles. One of these, an introduction to Apache Spark, can be found on simplylearn. Enjoy!
This article continues where I left with Classification for machine learning Apache Spark Apache Spark is a very popular framework in big data processing. The main reason for this: it’s fast! It can be used to parallelize your task on a cluster so it will […]
Classification with machine learning: that was the title of one of the last projects I have done via Upwork. In this post I will tell what the project was about and what I have done. Click–through rate (CTR) is the ratio of users who click […]