Image Classification with Convolutional Neural Networks – Classifying Cats and Dogs in Python

image classification convolutional neural networks python tutorial

This tutorial shows how to use Convolutional Neural Networks (CNNs) with Python for image classification. CNNs belong to the field of deep learning, a subarea of machine learning, and have become a cornerstone to many exciting innovations. There are endless … Read more

Feature Engineering for Multivariate Stock Market Prediction with Python

feature engineering for stock market prediction, multivariate time series modelling

Multivariate forecasting models rely not exclusively on historical time series data but use additional features (multivariate = multiple input variables) such as moving averages or momentum indicators. The underlying assumption is that various variables increase the accuracy of a forecast … Read more

Stock Market Prediction using Multivariate Time Series and Recurrent Neural Networks in Python

stock market prediction Python tutorial

Regression models based on recurrent neural networks (RNN) can recognize patterns in time series data, making them an exciting technology for stock market forecasting. What distinguishes these RNNs from traditional neural networks is their architecture. It consists of multiple layers … Read more

Measuring Regression Errors with Python

time series regression error metrics python and scikit-learn

Evaluating performance is a crucial step in developing regression models. Because regression models return continuous outputs, such models allow for different gradations of right or wrong. Therefore, we measure the deviation between predictions and actual values in numerical terms. However, … Read more