The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
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Updated
Mar 19, 2025 - Jupyter Notebook
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
Notebooks from the Machine Learning Specialization
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Classification of Breast Cancer diagnosis Using Support Vector Machines
Machine Learning Engineer Nanodegree portfolio, which includes projects and their notebooks/reports.
This repository is composed of Solution notebooks for Course 1 of Machine Learning Specialization taught by Andrew N.g. on Coursera.
Notebooks for the ML course in Medellin
This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.
PostgreSQL, docker-compose, classification model, latent semantic analysis, Jupyter Notebook, Wikimedia API
Bunch of notebooks collection from Kaggle competitions.
Machine Learning Homework Solution Notebooks (UCF CAP5610)
This Repository consist of some popular Machine Learning Algorithms and their implementation of both theory and code in Jupyter Notebooks
This repo helps keep track about exercises, jupyter notebooks and datasets on the introduction to machine learning (pytorch) udacity nanodegree program.
Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions
A repository dedicated to learning about Artificial Intelligence, Machine Learning, and Deep Learning using Python/IPython Notebook.
The Jupyter notebook repository covering a wide variety of machine-learning models and algorithms ranging from regression to classification.
A notebook about commonly used machine learning algorithms.
Decision Tree project based on ID3 Algorithm built on Jupytor Notebook with Python. Dataset taken: Tennis.csv
Notebooks for practicing ML/DL/GenAI.
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