Analysis of Malta’s Weather (1997-2020)
In this notebook we are going to visually explore the weather in Malta over the last 24 years, from 1997 to 2020. To achieve this we first need to download w...
In this notebook we are going to visually explore the weather in Malta over the last 24 years, from 1997 to 2020. To achieve this we first need to download w...
The Malta–Sicily Interconnector connects Malta to the Synchronous grid of Continental Europe through the Ragusa substation in Sicily, operated by the Transmi...
This is a summary of the most useful pandas features and is based on some of the techniques discussed in Ted Petrou’s Minimally Sufficient Pandas article.
Recently I read the excellent tutorial Deep Learning and Medical Image Analysis with Keras by Dr. Adrian Rosebrock’s. Adrian’s tutorial shows how to use a pr...
In this notebook we will use PyTorch to construct a convolutional neural network. We will then train the CNN on the CIFAR-10 data set to be able to classify ...
In this notebook we will learn what tensors are, why they are used and how to create and manipulate them in PyTorch.
In a previous notebook, MNIST Using Keras, we built a fully-connected (dense) shallow neural network (one hidden layer with 512 nodes) to classify images of ...
In this notebook, we will build a simple two-layer feed-forward neural network model using Keras, running on top of TensorFlow. We then train the sequential ...
In this notebook, we will build a simple three-layer feed-forward neural network model using Keras, running on top of TensorFlow. The sequential model will b...
In this brief guide you will learn how to easily setup two Docker containers, one for Python and the other for the Stanford CoreNLP server. Using this setup ...
Price summary statistics for the property market in Malta as of September 2018.
Price summary statistics for the rental property market in Malta as of September 2018.
The World Cup games data visualisation below is based on the exercise in the Udacity Data Visualization and D3.js - Communicating with Data course.
Brief overview of counting methods used to determine the number of possible outcomes under different scenarios. These are then used to compute probabilities ...
What are Binary Classifiers?
In this interactive Jupyter notebook you will learn the very basics of statistics. Through statistics you can make sense of data and in today’s world this is...
In this report we will analyse property for rent in Malta to compute and visualise statistics such as average prices, by property type, town and region. Two ...
Price summary statistics for the property market in Malta as of February 2018.
Price summary statistics for the rental property market in Malta as of February 2018.
In this notebook we will load the trained Random Forest classifier, built in the Instacart Model Fitting notebook, and make reordered products predictions fo...
In this notebook we will load the Random Forest model fitted on all the training data and evaluate its F1-measure performance on the validation set, using a ...
In this notebook we will fit simple reordering classifier models using the features extracted from the Instacart Market Basket Analysis dataset provided by K...
In this notebook we will mostly use Pandas to engineer features from the Instacart Market Basket Analysis Kaggle competition. In the original Kaggle competit...
In this notebook we will explore the Instacart data set made available on Kaggle in the Instacart Market Basket Analysis Competition. We will be using Python...
In this notebook we will split the Instacart training data as provided on Kaggle in the Instacart Market Basket Analysis competition, into a training set and...
Notes on how to install Docker on Microsoft Windows and how to make it work if you also run VirtualBox on the same computer.
In this notebook we will explore the Titanic passengers data set made available on Kaggle in the Getting Started Prediction Competition - Titanic: Machine Le...
In this report we will analyse property for rent in Malta to compute and visualise statistics such as average prices, by property type, town and region. Prop...
Price summary statistics for the property market in Malta as of March 2017.
Price summary statistics for the rental property market in Malta as of March 2017.
Here you will find a curated list of quality educational resources available online for free, to help you learn machine learning.
Price summary statistics for the rental property market in Malta as of November 2016.
Notes on how to install and use the R statistical language.
Notes on how to configure Linux as a guest operating system in a VirtualBox virtual machine.
Notes on how to do common tasks through the Linux shell.
In this report we will analyse property for sale in Malta to compute and visualise statistics such as average prices, by property type, town and region. Prop...
Notes on how to use Git, such as, initialising or cloning a repository, adding files to the staging area and committing staged files.
Price summary statistics for the property market in Malta as of October 2016.
Price summary statistics for the property market in Malta as of April 2016.