Complete Machine Learning and Data Science Zero to Mastery

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Course overview

Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way. We are confident that this is the most comprehensive, modern and up-to-date course you will find on Data Science & Machine Learning (bold statement, we know). Fully updated for 2023, we use the latest version of Python, Tensorflow 2.0, and all the latest industry skills and trends!

Requirements

Computer Skills

Curriculum for this course

54 Lessons 03:37:31 Hours

1. Introduction

4 Lessons 00:09:47 Hours

1.1. Course Outline
00:05:59
1.2. Join Our Online Classroom
.
1.3. Exercise Meet The Community
.
1.4. Your First Day
00:03:48

2. Machine Learning 101

11 Lessons 00:39:36 Hours

2.1. What Is Machine Learning
00:06:52
2.2. AIMachine LearningData Science
00:04:51
2.3. Exercise Machine Learning Playground
00:06:16
2.3.1 Teachable Machine
.
2.4. How Did We Get Here
00:06:03
2.5. Exercise YouTube Recommendation Engine
00:04:24
2.5.1 Machine Learning Playground
.
2.6. Types of Machine Learning
00:04:41
2.7. Are You Getting It Yet
.
2.8. What Is Machine Learning Round 2
00:04:41
2.9. Section Review
00:01:48

3. Machine Learning and Data Science Framework

16 Lessons 01:03:19 Hours

3.1. Section Overview
00:03:08
3.2. Introducing Our Framework
.
3.3.1 A 6 Step Field Guide for Machine Learning Modelling (blog post).
.
3.3. 2. Step Machine Learning Framework
00:04:59
3.4. Types of Machine Learning Problems
00:10:32
3.5. Types of Data
00:04:50
3.6. Types of Evaluation (2).mp4
00:03:31
3.7. Features In Data
00:05:22
3.8. Modelling - Splitting Data
00:05:58
3.9. Modelling - Picking the Model
00:04:35
3.10. Modelling - Tuning
00:03:17
3.11. Modelling - Comparison
00:09:32
3.12. Overfitting and Underfitting Definitions
.
3.13. Experimentation
00:03:35
3.14. Tools We Will Use
00:04:00
3.15. Optional Elements of AI
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4. The 2 Paths

2 Lessons 00:03:27 Hours

4.1. The 2 Paths
00:03:27
4.2. Python + Machine Learning Monthly
.

5. Data Science Environment Setup

21 Lessons 01:41:22 Hours

5.1. Section Overview
00:01:09
5.2. Introducing Our Tools
00:03:28
5.3. What is Conda
00:02:35
5.3.1 Conda documentation
.
5.3.2 Getting your computer ready for machine learning How, what and why you should use Anaconda, Miniconda and Conda (blog post)
.
5.3.3 Getting started with Conda (documentation)
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5.3.4 conda-cheatsheet
.
5.4. Conda Environments
00:04:30
5.5. Mac Environment Setup
00:17:25
5.5.1 Miniconda download documentation
.
5.6. Mac Environment Setup 2
00:14:11
5.7.1 Miniconda download documentation
.
5.8. Windows Environment Setup 2
00:23:17
5.9. Linux Environment Setup
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5.10. Sharing your Conda Environment
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5.10.1 Conda documentation on sharing an environment
.
5.11. Jupyter Notebook Walkthrough
00:10:20
5.11.1 Dataquest Jupyter Notebook for Beginners Tutorial.html
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5.11.2 Jupyter Notebook documentation
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5.12. Jupyter Notebook Walkthrough 2
00:16:17
5.13. Jupyter Notebook Walkthrough 3
00:08:10