Automate models with Pipeline and Cross-validation
Cover image owned by: https://www.activestate.com/ One way to continue learning in the world of Data Science is to stop by Kaggle and try to participate in one of the competitions...
PyCaret has optimized my time for predictive model analysis
When I face the challenge of building prediction models in my different projects or in the data science challenges (Kaggle, Datathon, etc.), I always face a laborious and scrupulous trial...
Attribute Relevance Analysis
Selecting predictive features in binary classification models - Weight of Evidence (WOE) and Information Value (IV) In this post, we'll try to address a methodology for selecting the best predictive...
Can you predict who will donate blood in advance?
This is based on a repository of UCI Machine Learning Repository. This article was written as part of a Data Science Master task. When a person loses high blood from...
Predicting myopia in a child population👓
In this analysis, I will use a set obtained in a study of a population of children that in which their habits have been followed looking for the characteristics that...
Santander Customer Transaction Prediction
Getting data from a Kaggle's competition, let's compare the performance between classic and new generation of gradient boosting decision trees (GBDTs). Reference: https://www.kaggle.com/c/santander-customer-transaction-prediction In this competition proposed by Santander Bank, invites Kaggle...
Movie recommender by content based and collaborative filter
They are used to recommend, for example, to people who have made a particular purchase, what other products might interest you. There are several types of recommendation models. Content-based Recommendation...