Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep ...
Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
Overview: SQL remains a core skill for data management across industries in 2026Free courses build fundamentals while paid ...
Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, Matplotlib etc. Decision trees and Random Forest Classification (Here is the Notebook) ...
In particular, it contains code for experimenting with an exhaustive set of features and machine learning pipelines for predicting xG values from soccer event stream data. Since we rely on the SPADL ...
How far can a mid sized language model go if the real innovation moves from the backbone into the agent scaffold and tool stack?