Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 43 Minute(s)
Language
English
Taught by
Soroush Arab
Rating
1 views
Course Overview
The Ultimate Machine Learning Journey: From Beginner to Expert with a Step-by-Step Guide in Python
This course adopts a bootcamp-style learning approach, delivering essential information through hands-on labs and projects to enhance your understanding of the material. You can freely use the projects to enhance your resume or GitHub profile to boost your career.
In this module, you'll explore the applications of Machine Learning across various fields, including healthcare, banking, and telecommunications. You'll gain a broad understanding of Machine Learning concepts, such as supervised versus unsupervised learning, and how to implement Machine Learning models using Python libraries.
It is suitable for individuals who:
Need to quickly start working with Machine Learning, such as students.
Want to prepare themselves for work tasks or job interviews.
Have an interest in beginning their journey in Machine Learning, Deep Learning, AI, or Large Language Models like ChatGPT.
Requirements:
Firstly, don't be afraid to delve into unfamiliar topics just because of their titles; everything is achievable step by step.
The course has no specific prerequisites, but for the labs, it's helpful to have some basic knowledge of the Python programming language. If you're unfamiliar, the course provides guides to assist you.
Learning Objectives:
Provide examples of Machine Learning applications in different industries.
Outline the problem-solving steps used in Machine Learning.
Present examples of various machine learning techniques.
Describe Python libraries used in Machine Learning.
Explain the distinctions between Supervised and Unsupervised algorithms.
Describe the capabilities of different machine learning algorithms.
Course Content
- 10 section(s)
- 27 lecture(s)
- Section 1 Welcome and Introduction
- Section 2 What is machine learning
- Section 3 Embrace the Learning Journey
- Section 4 Linear Regression
- Section 5 K-Nearest Neighbours
- Section 6 Decision Trees
- Section 7 Regression Trees
- Section 8 Logistic Regression
- Section 9 Support Vector Machine
- Section 10 Multiclass Prediction
What You’ll Learn
- Bootcamp-style course: Hands-on labs, projects boost understanding. Use projects for resume/GitHub profile to advance career.
- Provide examples of Machine Learning applications in different industries.
- Outline the problem-solving steps used in machine learning.
- Present examples of various machine learning techniques.
- Describe Python libraries used in Machine Learning.
- Explain the distinctions between Supervised and Unsupervised algorithms.
- Describe the capabilities of different machine learning algorithms.
- In this module, you'll explore the applications of Machine Learning across various fields, including healthcare, banking, and telecommunications.
- You'll gain a broad understanding of Machine Learning concepts, such as supervised versus unsupervised learning, and how to implement Machine Learning models.
Reviews
-
RRamanan Loganathan
good
-
ZZahra Sadeghi Lokolayeh
The explanation is clear and videos are made according to the text.
-
AArindam Das
I am Arindam and i can say generally i had no information about machine learning methods but after attending the whole course i can definitely say that i gain brief knowledge about it
-
MMohaddaseh
I recently completed the course and I must say it exceeded my expectations. This course truly offers the ultimate machine learning journey, guiding beginners through the fundamentals all the way to advanced concepts. The step-by-step guide in Python made it easy to follow along, even for someone like me who was new to programming. The instructors did an excellent job of breaking down complex topics into digestible chunks, ensuring a smooth learning experience. By the end of the course, I felt confident in my ability to tackle real-world machine learning projects. I highly recommend this bootcamp to anyone looking to dive into the world of AI and machine learning.
