This project implements Simple Linear Regression in Python without using any machine learning libraries. Everything is done using pure Python to understand the math behind linear regression.

Abstract: In this paper, the use of machine learning techniques to repurpose already available Pareto optimal fronts of analog integrated circuit blocks for new contexts (loads, supply voltage, etc.) ...

In this tutorial, we implement a reinforcement learning agent using RLax, a research-oriented library developed by Google DeepMind for building reinforcement learning algorithms with JAX. We combine ...

Abstract: Polynomial regression is a fundamental technique in data analysis and modeling, yet selecting the optimal polynomial order and specific terms remains a challenging task that balances model ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

1. Preheat the oven to 350 degrees Fahrenheit. 2. In a 6-quart pot, heat olive oil until it shimmers. Add garlic and chiles, sauté for 30–40 seconds. Add tomatoes and fresh basil. Season to taste with ...

From Scratch, the acclaimed travel and food docuseries hosted by David Moscow, has debuted its latest season on Peacock. Season 6 features 10 episodes, premiering in two drops. The first debuted on ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

In this tutorial, we explore how to build neural networks from scratch using Tinygrad while remaining fully hands-on with tensors, autograd, attention mechanisms, and transformer architectures. We ...

A complete implementation of Logistic Regression with Gradient Descent optimization from scratch using only NumPy, demonstrating mathematical foundations of binary classification for diabetes ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...