Multivariate Time Series Forecasting using Encoder-Decoder

In this post, you will see how to implement a multivariate time series forecasting using Encoder – Decoder deep learning architecture. Once again, the dataset is taken from ICU Machine Learning repository. Briefly, as the site says : “the dataset contains 9358 instances of hourly averaged responses from an array of 5 metal oxide chemical… Continue reading Multivariate Time Series Forecasting using Encoder-Decoder

Sentiment analysis using Keras and Tensorflow

Sentiment analysis is actually one of the hottest topics in Deep learning area. It falls under the umbrella of NLP. Companies use sentiment analysis for product analytics, brand monitoring and many other applications. In this tutorial, you will discover how to develop sentiment analysis model using Deep Learning, specifically RNN. Once again, we will use… Continue reading Sentiment analysis using Keras and Tensorflow

Eye state classification using Keras and Tensorflow

In this article, I will use Keras and Tensorflow to build a CNN architecture for image classification. The dataset is available for download on ICU Machine Learning Repository and our purpose is to classify eye state as wearing SUNGLASSES or just OPEN. Classification on the head position or facial expression can be done as well… Continue reading Eye state classification using Keras and Tensorflow

Wall-following Robot Navigation using Tensorflow DNN

This article aims to demonstratre how DNN can be used for wall-following Robot Navigation. The dataset is available on UCI Machine Learning repository. Features are taken from 24 sensors readings and labels are Slight-Right-Turn, Move-Forward, Sharp-Right-Turn and Slight-Left-Turn. We will try to use Tensorflow libraries as much as possible. First, we download the dataset from… Continue reading Wall-following Robot Navigation using Tensorflow DNN

Early diabete prediction using Keras and Tensorflow

This tutorial is to achieve the same purpose as the previous article Binary Classification with Keras and Scikit-learn but with the pair Keras-TensorFlow. We will just highlight the difference between both approaches. Load, Explore, visualize dataset Instead of using Pandas, we use directly Tensorflow to load and create the tensors: Data preprocessing Also, we use… Continue reading Early diabete prediction using Keras and Tensorflow

Early diabete prediction using Keras and Scikit-learn

In this article, we will demonstrate how to combine Keras, Tensorflow and Scikit to achieve binary classification using Deep Neural Network approach. We will follow the standard process that should be adopted for any kind of machine learning projects : Load, Explore, visualize a dataset Data preprocessing Develop the model Create training and evaluation datasets… Continue reading Early diabete prediction using Keras and Scikit-learn

Docker : Resource management simulation on Ubuntu 20.04

Docker has became the standard PaaS to deliver portable software. Since it uses the same resource as the host machine, resource management is very crucial to make sure it runs efficiently without putting at risk the host machine and throw an OOME (Out Of Memory Exception). This article will relate to some settings that we… Continue reading Docker : Resource management simulation on Ubuntu 20.04

SDKMAN : Multi-platform tool to switch between SDK versions

There are several tools to manage multiple versions of SDK for Java, Maven, Graddle, SBT, Spark, Spring Boot, etc … depending on the platform. For example, “update-alternatives” is the native tool for Debian-based distributions. However, for developers who usually looks for a multi-platform and multi-SDK tool, SDKMAN is a good choice. For SDK vendors, it… Continue reading SDKMAN : Multi-platform tool to switch between SDK versions