Just a place to write
This was the question it came to me yesterday. I’m using Kaggle to learn and to execute some basic scripts, and it’s a great environment, but it’s not ready for working on several scripts that require some type of organization and power. So I was looking for places where I could run my Jupyter notebooks. … Read more
This is the first version of an analysis I wanted to perform with the main purpose of learning. By this reason I have limited the number of input data and operations to the minimum. To do something different I will be looking for correlations between the two main dark pool indexes: DIX and GEX Indexes. … Read more
This post is a combination of a “Peter Lynch” personal view using Wardley maps to reflect some of the things I discovered around Pepsi and its Alvalle brand. Background Alvalle is a brand acquired by Pepsi in 1999. They basically produce Gazpacho and Salmorejo (the original recipe comes from Córdoba, Andalusia). Both recipes are very … Read more
There are different techniques or models to solve these type of problems. We can divide the type of models using this diagram: Traditional Time Series forecasting techniques Recursive: we can make predictions for tomorrow, the day after… to do the prediction of day #4 we will predict first #1, then #2, then #3 and then … Read more
The reason I like this type of solutions I studied electronic engineering and at the end of the degree I did a project to obtain the grade related to maintenance in an industry factory. I implemented a solution based on Lotus Notes where you could schedule the preventive maintenance activities, track the incidents, the inventory, … Read more
Let’s start with Wikipedia: In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep neural network, most commonly applied to analyze visual imagery. The name “convolutional neural network” indicates that the network employs a mathematical operation called convolution. The convolutional networks are a specialized type of neural networks that use convolution … Read more
I discovered this initiative in 2018 and I would like to check the figures from time to time. The full 2020 report is here: https://windeurope.org/intelligence-platform/product/wind-energy-in-europe-in-2020-trends-and-statistics/#overview
This post covers different readings and learnings I’m working to gain knowledge on Machine Learning. At this moment, to me, there are 4 pillars of knowledge that I should gain when talking about Machine Learning. These are: Models & math’s knowledge. Software Programing: python (it’s the one I will use). How the machine learning initiatives … Read more
I’m taking notes while I learn about data visualization on Kaggle.
I’m going through the course “Intro to Machine Learning“, and I would like to keep some notes about it. My first machine learning code Model validation In almost all applications, the relevant measure of model quality is predictive accuracy. In other words, will the model’s predictions be close to what actually happens. Mean Absolute Error (MAE) … Read more