Practical Machine Learning Learning Path

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Practical Machine Learning Learning Path
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 6 Modules (11h 44m) | Size: 24 GB

Description
QA's Practical Machine Learning course is an intense deep dive into the world of machine learning. In it you'll learn how to implement different Machine learning models, validate their quality and how to implement them practically. This course is being iterated, and we are looking to flesh out the scope and learning activities within it. As such, if you have any feedback, please don't hesitate to get in touch and let us know what you think we could do to improve this course.

This courses Contains 6 Modules:
Module 0 - What is machine learning
Module 1 - Python for machine learning
Module 2 - Maths for machine learning
Module 3 - Supervised learning
Module 4 - Model selection
Module 5 - Regression

Learning Objectives
After completing the Practical Machine Learning course, you will know:

How to explore and prepare data
Develop ML models
How to pick ML algorithms for a given task
Understand techniques and metrics used to determine the quality of ML models

Intended Audience
This course is aimed at fledging data scientists and analysts who wish to gain more in-depth knowledge of Machine Learning.

Prerequisites
GCSE Mathematics or above.
Must be comfortable with analytical and mathematical thinking.
Familiar with basic python programming: variables, control flow, scope, data structures and functions. Must be comfortable with algorithmic thinking.
Familiar with basics of data analysis including databases, descriptive statistics, and typical business use cases.

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