The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

If you are interested in learning how to use the new Llama 2 artificial intelligence LLM with Python code. You will be pleased to know that the Data Professor YouTube channel has recently released ...

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...

The most popular AI helpers among Python developers are OpenAI ChatGPT and GitHub Copilot. This is the result of a new survey ...

Not to be overshadowed by the many AI announcements from AWS re:Invent this week, Pydantic, the team behind the leading open-source Python programming language data validation library, launched ...

Neural network dropout is a technique that can be used during training. It is designed to reduce the likelihood of model overfitting. You can think of a neural network as a complex math equation that ...

The second model gives 94.50 percent accuracy on the training data (189 of 200 correct) and 67.50 percent accuracy on the test data (27 of 40 correct). In this example, using L1 regularization has ...