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

Related tags

Deep Learning data-science machine-learning deep-learning
Overview

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.

If you'd like to see anything in particular, please send me an email: [email protected] or leave an issue.

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/
Comments
  • I got an errors when I was trying to do data preprocessing

    I got an errors when I was trying to do data preprocessing

    I was trying to follow your steps to convert the categorical features in the car_sales dataframe to numbers but got some errors

    This is the thread: https://github.com/scikit-learn/scikit-learn/issues/17741

    opened by Blessing988 2
  • Update introduction-to-pandas notebook: typos and unfound bugs

    Update introduction-to-pandas notebook: typos and unfound bugs

    Here is my changes detail to introduction-to-pandas notebook:

    • Typos (aniamls -> animals, car_sales_missening -> car_sales_missing)
    • Change call column car_sales[“Odometer”] (can not found the column) to “car_sales[“Odometer (KM)”] ”
    • Change path in pd.read_csv("car-sales-missing-data.csv") (not found directory) to “../data/car-sales-missing-data.csv”

    Love your course ^^

    opened by mtosity 1
  • [Deleted] Update introduction-to-pandas notebook: typos and unfound bugs

    [Deleted] Update introduction-to-pandas notebook: typos and unfound bugs

    Here is my changes detail to introduction-to-pandas notebook:

    • Typos (animals, car_sales_missing)
    • Change call column “Odometer” (can not found column) to “Odometer (KM)”
    • Change path in pd.read_csv("car-sales-missing-data.csv") (not found) to “../data/car-sales…”

    Love your course ^^

    opened by mtosity 1
  • Add links to launch repo in Binder, Colab & Deepnote

    Add links to launch repo in Binder, Colab & Deepnote

    As seen on Aurélien Geron's Hands-On ML repo (https://github.com/ageron/handson-ml2), I have added links to launch the repo in Google Colab, Binder and Deepnote

    opened by jaintj95 1
  • Fixed the typo - xlabel and ylabel were interchanged for the bar plot in matplotlib exercise's solution

    Fixed the typo - xlabel and ylabel were interchanged for the bar plot in matplotlib exercise's solution

    Hey, I just noticed that the labels were interchanged for a bar plot in matplotlib exercise solutions. I know it's not really a big deal, just wanted to contribute :)

    opened by pavanskipo 1
  • fix: make use of functions parameters instead of global variables

    fix: make use of functions parameters instead of global variables

    Hi Daniel @mrdbourke

    I am sending this PR as a follow up to my couple of comments on your amazing Udemy course.

    As you have noticed, two functions in the course are passed parameters they never use, relying instead on global variables. This pull request help fix the issue by replacing the global variables with the proper function parameters.

    I am really enjoying the course and looking for more content from you in the future.

    Cheers Younes

    opened by youneshenniwrites 1
  • fixed recall definition

    fixed recall definition

    Fixed recall definition in end-to-end-hearth-disease-classification. There was a typo stating that the formula is TP / (TP + FP). This should be TP / (TP + FN)

    opened by Matus-Dubrava 1
  • Avoid adding cents in Price column

    Avoid adding cents in Price column

    While converting Price column into Int, cents are appended and get converted into whole integer. $4000.00 -> 400000

    After the suggested change, $4000.00 -> 4000

    opened by SaketMunda 0
  • Fix Sklearn version upgrades videos/code

    Fix Sklearn version upgrades videos/code

    Some students are getting different results when running different models in Scikit-Learn.

    This is because of different version upgrades (e.g. Scikit-Learn 0.23.0 -> 1.0.0).

    Find the videos/code that is showing the worst results and update them with the newer versions.

    opened by mrdbourke 1
Owner
Daniel Bourke
Machine Learning Engineer live on YouTube.
Daniel Bourke
GitHub https://dbourke.link/ZTMmlcourse
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