A comprehensive guide on how to generate an exhaustive data exploration via pandas-profiling — Table of Contents 1. Introduction 2. Code 3. Structure 4. Managing Large Datasets 1. Introduction As data scientists, but in general, as computer scientists working with data, we have all found ourselves in the following situation: “How nice, I got a new dataset! Oh wait, it’s 500,000 rows, and 200 columns. …

In recent years, with the spread of AI models of various types (trees, neural networks, etc.), the role of explainable AI is becoming of vital importance. First of all, let’s define what the explainable AI is: Explainable artificial intelligence (XAI) is a set of processes and methods that allows human…

Guide on how to deal with the case in which we have inputs (usually signals) of variable length, using the Tensorflow TimeDistributed wrapper — Table of Contents Why variable input length? Tensorflow Timedistributed Wrapper Data Generator References Why variable input length? Have you ever wanted to apply a neural network to your dataset, but the data (signals, time series, texts, etc.) had a variable length? Unfortunately, this situation is quite common for a Data Scientist.