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

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

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 ...

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.

A new numerical modelling tool developed by researchers at the University of Toronto could help improve the design and ...

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 ...

Get a hands-on introduction to generative AI with these Python-based coding projects using OpenAI, LangChain, Matplotlib, SQLAlchemy, Gradio, Streamlit, and more.

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 ...

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 ...