Machine learning in economy is very important, and one of its application is predicting the behavior of the stock market. How can you do that, the idea is creating a model that reads the previous graph of the market and gives the predicted behavior as output. To do so, one cannot use the simple Tensorflow […]
Tag: MachineLearning
AI Artist
A nice programming challenge is writing a program that modifies an image to give using the style from another image, which in my case is Van Gogh’s Starry Night. Let’s take a look at the input image. A take of the houses of parliament at night. Now let’s see the output image after 7000 iterations. […]
A Random Forest For The Iris Dataset
Yesterday we talked about a Decision Tree Classifier making a prediction on the Iris dataset, now let’s see how an ensemble of decision trees can help each other making a more accurate prediction. The main fact about ensemble methods is that each model is trained on a different subset of the training set. If the […]
A Tree For The Iris Dataset
The iris dataset is widely renown among machine learning enthusiasts. It contains three species of flowers (setosa, versicolor, virginica) with 4 relative attributes: petal length, petal width, sepal length, sepal width. What we’re going to do is try to predict the species of flower knowing its attributes. Today I’ve decided to show how to train […]