Explore live open-source projects and AI models.

Learning Fundamentals of Machine Learning all over along with Stanford's Andrew Ng

We're excited to launch our Entry-Level ML Engineer Bootcamp! 🎉 This bootcamp is designed to help you kickstart your journey in AI by learning the fundamentals of machine learning through structured modules, hands-on exercises, and peer learning.

My learning journey in machine learning — step-by-step notebooks covering core algorithms, theory, and practical experiments.

Linear Algebra Fundamentals for Machine Learning

A collection of Machine Learning lab programs implemented in Python (Jupyter Notebook) covering fundamental supervised and unsupervised learning algorithms, search algorithms, and neural network concepts.

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

A simple rule-based AI chatbot built using pure Python (Python 3.14.2 compatible) without any external libraries or machine learning frameworks. The chatbot uses pattern matching and decision rules to simulate intelligent conversation, making it ideal for learning the fundamentals of Artificial I... Read more

Handwritten digit recognition is a fundamental problem in the field of computer vision and machine learning. In this project, we propose to implement the LeNet5 model using PyTorch to recognize handwritten digits from the MNIST dataset.

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we automatically extract knowledge or make sense of massive quantities of data? These are the fundamental questions of machine learning. Machine learning and data m... Read more