DADavid Andresinmlpills.hashnode.dev·Feb 1, 2023 · 1 min readWe've moved to www.mlpills.devHello! We decided to move the blog to: https://mlpills.dev/ You can subscribe to our newsletter so you don't miss any articles and all the exclusive content we share there! We now also have a Spanish version of the blog! With all the articles manu...00
DADavid Andresinmlpills.hashnode.dev·Jan 24, 2023 · 4 min readForecasting methods in Time SeriesWhen working with time series data, it is important to assess the quality of a model in a way that accurately reflects real-world situations. Generally, the simplified process of building a Machine Learning model is the following: Process and clean ...00
DADavid Andresinmlpills.hashnode.dev·Jan 18, 2023 · 3 min readConvolutional Neural Networks IIThe activation layers and pooling layers of the Convolutional Neural Networks (CNN) will be introduced, following the first part of this series where the convolutional layers were explained. Activation Layers Normally, the feature maps are passed thr...00
DADavid Andresinmlpills.hashnode.dev·Dec 16, 2022 · 3 min readARIMA-GARCH modelsARCH/GARCH models can assist or improve the forecast of ARIMA models. Firstly, time series data must be stationary for these models to be applicable. If not, we should apply some transformations such as differencing. Since these models are mainly use...00
DADavid Andresinmlpills.hashnode.dev·Dec 7, 2022 · 4 min readARCH / GARCH models for Time SeriesVolatility is a statistical measure of the dispersion of data or variance around its mean over a certain period of time. In finance, it refers to how much the price changes between periods. For example, if it is high, the price may increase or decrea...00
