Fundamentals of Machine Learning using Python

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Luca Berton

48:16

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1. Introduction

1.1 Fundamentals of Machine Learning.pdf

1. Fundamentals of Machine Learning.mp4

06:24

2. Module 1 Introduction and Regression

1.1 Introduction to Machine Learning.pdf

1. Introduction to Machine Learning.mp4

07:55

2.1 The Power of Python and SciKit Learn in Machine Learning.pdf

2. The Power of Python and SciKit Learn in Machine Learning.mp4

08:02

3.1 Understanding Supervised and Unsupervised Learning in Machine Learning.pdf

3. Understanding Supervised and Unsupervised Learning in Machine Learning.mp4

07:27

3. Module 2 Classification

1.1 A Comprehensive Introduction to Regression Analysis.pdf

1. A Comprehensive Introduction to Regression Analysis.mp4

07:29

2.1 A Beginners Guide to Linear Regression.pdf

2. A Beginners Guide to Linear Regression.mp4

06:46

4. Thank You

1.1 Conclusion Fundamentals of Machine Learning.pdf

1. Conclusion Fundamentals of Machine Learning.mp4

04:13

Description

Proficiency in applying Machine Learning techniques using the scikit-learn Python library.

What You'll Learn?

Introduction to Machine Learning
Demystify Problem-Solving Steps
Machine Learning impact in industries
Machine Learning Python Libraries
Supervised vs. Unsupervised Learning

Who is this for?

Data Scientists and Analysts

Software Developers

Business Analysts

Researchers and Academics

Entrepreneurs and Innovators

Professionals in Specific Industries

Data Enthusiasts

Anyone Curious About Machine Learning

Beginner of Python curious about data science

What You Need to Know?

Python Programming

More details

Description
In today's rapidly evolving technological landscape, Machine Learning has emerged as a transformative force across many industries. This introduction course offers a deep dive into the practical applications of Machine Learning in fields such as healthcare, banking, telecommunications, and more. With an emphasis on real-world relevance, this course equips you with the knowledge and skills to harness the power of Machine Learning to solve complex problems and drive innovation in your chosen industry.
Throughout the course, you will embark on a journey that begins with a solid foundation in Machine Learning fundamentals. You will explore the distinction between supervised and unsupervised learning, gaining a nuanced understanding of when and how to apply each approach. Moreover, you will delve into the vast landscape of Machine Learning algorithms, learning their strengths, weaknesses, and real-world use cases.
One of the course's central pillars is the practical implementation of Machine Learning models using Python libraries. Python's versatility and a rich ecosystem of libraries such as scikit-learn, TensorFlow, and Keras provide you with the tools to build, train, and evaluate models effectively. You will gain hands-on experience in applying these libraries to real-world datasets, honing your ability to transform data into actionable insights.
By the end of this course, you will not only possess a strong theoretical foundation in Machine Learning but also the practical skills needed to leverage this transformative technology in various professional domains. Whether you are a healthcare professional seeking to enhance patient care, a banker aiming to optimize financial decisions, or a telecommunications expert looking to improve network efficiency, this course empowers you to make data-driven decisions that drive innovation and success in your industry.
Join us on this exciting journey into Applied Machine Learning and unlock new possibilities for problem-solving and innovation in your field.
Who this course is for:
Data Scientists and Analysts
Software Developers
Business Analysts
Researchers and Academics
Entrepreneurs and Innovators
Professionals in Specific Industries
Data Enthusiasts
Anyone Curious About Machine Learning
Beginner of Python curious about data science

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I’ve been 14 years in the IT market with a technical background and people in mind. My strengths are Ansible automation, GNU/Linux, and Cloud Computing. I'm a certified RedHat System Administrator. I like to teach and move your skill to the next level! I try to automate as many things as possible because I consider myself a lazy person.

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