I recently recorded a four-part video series for my Youtube channel on how I attempted to create a 3D model out of a photo, using Python, Numpy, and Google Colab. For this programming, I relied on the ...

This repository contains a comprehensive Python implementation of panel data analysis and model comparison using the statsmodels library. The project aims to analyze a panel dataset of wages and ...

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.

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 ...

Using Python to implement the models. Next, we’ll illustrate how to implement panel data analysis in Python, using a built-in dataset on firms’ performance from the `linearmodels` library that follows ...

Abstract: The Model-View-Controller (MVC) framework has become the standard in modern software development, with the model layer, display layer, and controller layer making it easier and faster. The ...

How to Use Python to Forecast Demand, Traffic & More for SEO Forecasting can offer great value in SEO. Here's how to get data-driven answers about possible trends in organic search using Python.

The Data Science Lab. Binary Classification Using PyTorch: Model Accuracy. In the final article of a four-part series on binary classification using PyTorch, Dr. James McCaffrey of Microsoft Research ...