• Stars
    star
    2,449
  • Rank 18,762 (Top 0.4 %)
  • Language
    Jupyter Notebook
  • Created about 5 years ago
  • Updated 10 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

All course materials for the Zero to Mastery Machine Learning and Data Science course.

Zero to Mastery Machine Learning

Binder Deepnote Colab

Welcome! This repository contains all of the code, notebooks, images and other materials related to the Zero to Mastery Machine Learning Course on Udemy and zerotomastery.io.

Quick links

What this course focuses on

  1. Create a framework for working through problems (6 step machine learning modelling framework)
  2. Find tools to fit the framework
  3. Targeted practice = use tools and framework steps to work on end-to-end machine learning modelling projects

How this course is structured

  • Section 1 - Getting your mind and computer ready for machine learning (concepts, computer setup)
  • Section 2 - Tools for machine learning and data science (pandas, NumPy, Matplotlib, Scikit-Learn)
  • Section 3 - End-to-end structured data projects (classification and regression)
  • Section 4 - Neural networks, deep learning and transfer learning with TensorFlow 2.0
  • Section 5 - Communicating and sharing your work

Student notes

Some students have taken and shared extensive notes on this course, see them below.

If you'd like to submit yours, leave a pull request.

  1. Chester's notes - https://github.com/chesterheng/machinelearning-datascience
  2. Sophia's notes - https://www.rockyourcode.com/tags/udemy-complete-machine-learning-and-data-science-zero-to-mastery/

More Repositories

1

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
7,121
star
2

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Jupyter Notebook
6,701
star
3

tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Jupyter Notebook
4,709
star
4

cs329s-ml-deployment-tutorial

Code and files to go along with CS329s machine learning model deployment tutorial.
Jupyter Notebook
573
star
5

m1-machine-learning-test

Code for testing various M1 Chip benchmarks with TensorFlow.
Jupyter Notebook
482
star
6

pytorch-apple-silicon

Setup PyTorch on Mac/Apple Silicon plus a few benchmarks.
Jupyter Notebook
356
star
7

your-first-kaggle-submission

How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.
Jupyter Notebook
216
star
8

nutrify

Take a photo of food and learn about it.
Jupyter Notebook
156
star
9

airbnb-amenity-detection

Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.
Jupyter Notebook
156
star
10

mac-ml-speed-test

A few quick scripts focused on testing TensorFlow/PyTorch/Llama 2 on macOS.
Jupyter Notebook
86
star
11

food-not-food

Machine Learning powered app to decide whether a photo is food or not.
Jupyter Notebook
54
star
12

python-list-comprehensions-tutorial

This is the code to go along with the Python list comprehensions video by Daniel Bourke on YouTube.
Jupyter Notebook
43
star
13

mrdbourke

34
star
14

learn-transformers

Work in progress. Simple repository to learn Transformers (and transformers).
Jupyter Notebook
28
star
15

old_blog

My dev's blog
HTML
21
star
16

rag-resources

A collection of curated RAG (Retrieval Augmented Generation) resources.
21
star
17

charlie-walks

Website code for Charlie Walks: A Novel by Daniel Bourke
HTML
12
star
18

Udacity_DLND_Projects

All of my projects from the Udacity Deep Learning Foundations Nanodegree.
Jupyter Notebook
12
star
19

coursera_bioinformatics_and_genetic_algorithm_experiment

Code relating to the Coursera Bioinformatics Specialization as well as my own genetic algorithm experiment.
Jupyter Notebook
11
star
20

AIND-Machine-Translation

The code and other files related to the Udacity Artificial Intelligence Nanodegree Machine Translation project.
Jupyter Notebook
10
star
21

twitch-ml-deploy

Deploying a ML model in the browser using TensorFlow JS
JavaScript
8
star
22

Sentiment-Analysis-with-Keras

Materials and code relating to Learning Intelligence 25.
Jupyter Notebook
8
star
23

AIND-VUI-Capstone

Code and other files related to the Udacity Artificial Intelligence Nanodegree Deep Neural Network Speech Recognizer.
HTML
7
star
24

udacity-AIND

All of my files and projects associated with Term 1 of the Udacity Artificial Intelligence Nanodegree.
HTML
5
star
25

LearnPythonTheHardWay

All of the exercises from the Learn Python the Hard Way book from Zed Shaw.
Python
5
star
26

pytorch-resnet-twitch

PyTorch implementation(s) of various ResNet models from Twitch streams.
Jupyter Notebook
5
star
27

udacityDLfoundationsP2

Second project of the Udacity Deep Learning Foundations Nanodegree
HTML
5
star
28

nutrify-ai-grant-application

Nutrify application to aigrant.org
HTML
4
star
29

AIND-NLP

Materials relating to the Udacity AIND NLP classes.
Jupyter Notebook
3
star
30

modal-test

testing modal.com
Python
2
star
31

Treehouse

Projects from my Treehouse Coursework
2
star
32

hello-world

Github practice
2
star
33

food-data-central-database-creation-with-supabase

JavaScript
2
star
34

html-search-bar

Simple HTML search bar to search through a JavaScript array of JSON.
JavaScript
2
star
35

iOS-Retro-Calculator

Retro/Space
1
star
36

test-data-size-repo

1
star
37

ios-course-super-cool-app

Basic-iOS-app
1
star
38

blog-starter-test-1

🚀⚡️ Blazing fast blog built with Gatsby and Cosmic JS 🔥
JavaScript
1
star