Just a place to write
This post is an exercise to learn how to predict using different data on a machine learning model. Background Market breadth data and indicators are very popular in the investment world. I find them useful, and as I know them, I will use them as basis to experiment machine learning models. Data Analysis I have … Read more
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.