Learn how to create an LSTM-based neural network to predict an univariate time series — In this article you will learn how to make a prediction from a time series with Tensorflow and Keras in Python. We will use a sequential neural network created in Tensorflow based on bidirectional LSTM layers to capture the patterns in the univariate sequences that we will input to the…

A list of courses, videos and profiles to follow to learn Python online — One of the major concerns for a student is to find a good teacher for the subject they want to learn. This is exceptionally valid for programming and data science. I am of the opinion that all of us, regardless of age, already have the tools and resources to be…

A ready-to-use template for tokenization and padding of text sequences — In this article we’ll see how to extract and apply padding to sequences of tokens to use to train deep learning models with Tensorflow. I have already touched on the subject in a previous article where I talked about how to convert texts to tensors for deep learning tasks, but…

Classify images of cats and dogs using a convolutional neural network in Tensorflow — In this post we will see how to build a binary classification model with Tensorflow to differentiate between dogs and cats in images. Taking a cue from a famous competition on Kaggle and its dataset, we will use this task to learn how import a compressed dataset from the web …

How to use a callback to stop training at adequate performance — In this article I will explain how to control the training of a neural network in Tensorflow through the use of callbacks. …

An easy and efficient paradigm for creating a corpus from online blog articles Creating a dataset is one of the first and most important phases of a data analytics and machine learning project. As I already talked about in one of my medium articles where I explain the importance of…

How to install, activate, and use a virtual environment for machine learning and data science-related tasks — Before we start coding, it is essential to set up our machine with a new development environment. In these examples I will use the OSX terminal and Python 3.8 to just that and I will show you the basics to get started. If you are a Windows user the basic…

What is machine learning, examples of its applications and what to do to work in the field — Explaining what machine learning is relatively simple, but the discussion must be calibrated according to the interlocutor. Some terms can be interpreted differently depending on the context, so it is right to look for a vocabulary that is as general as possible. This article will target newbies in the field…

Note-taking is an ability often overlooked when developing a data science project, especially by beginners. A mistake I made for the first period of my career was to jump in the thick of it and start modeling stuff. Us data scientists have an adrenaline surge when we start modeling data…