You will see your new API Key. Copy and place it in a safe place. Check out this excellent tutorial touse your API keys as environment variables. Getting Data Using OpenAI This section shows you how to connect to the OpenAI API with a Python program and get a list of all the OpenAI ...
When Kaggle finally launcheda new tabular data competitionafter all this time, at first, everyone got excited. Until they weren’t. When the Kagglers found out that the dataset was 50 GB large, the community started discussing how to handle such large datasets [4]. CSV file format takes a...
In this tutorial, you’ll learn how to use Python and the OpenAI API to perform data mining and analysis on your data. Manually analyzing datasets to extract useful data, or even using simple programs to do the same, can often get complicated and time consuming. Luckily, with the OpenAI ...
You can use a reference implementation in one of the many existing libraries to make sure you are getting comparable results, but ideally you don't want to look at the code but actually force yourself to implement it directly from the mathematical formulation in the book. Some book recommendati...
Click to sign-up now and also get a free PDF Ebook version of the course. Start Your FREE Mini-Course Now Plot a Single XGBoost Decision Tree The XGBoost Python API provides a function for plotting decision trees within a trained XGBoost model. This capability is provided in the plot_tree...
Of course, the journey to become a skilled deep learning engineer in Python takes much more time and effort than that. Much of your time should be spent writing PyTorch code and solving problems. Just like learning to ride a bike is much more effective when you actually get on one ...
In this tutorial we will use the Otto Group Product Classification Challenge dataset. This dataset is available for free from Kaggle (you will need to sign-up to Kaggle to be able to download this dataset). You can download the training dataset train.csv.zip from the Data page and place ...
It’s much better to connect directly to the OpenAI API via Python. In my article for Python beginners, I explained various ways touse Python on your Mac. You can either use it locally or in the cloud, via Google Colab or Kaggle. ...
In this section, we will look into various methods available to install Keras Direct install or Virtual Environment Which one is better? Direct install to the current python or use a virtual environment? I suggest using a virtual environment if you have many projects. Want to know why? This ...
You can use the Python pickle API to serialize your machine learning algorithms and save the serialized format to a file, for example: 1 2 # save model to file pickle.dump(model, open("pima.pickle.dat", "wb")) Later you can load this file to deserialize your model and use it to ...