Machine Learning Deep Dive: Business Applications and Coding Walkthroughs
34 High Quality Lessons
0 Practical Tasks
3 Hours of Content
Certificate of Achievement
Do you wish to learn how companies and non-profit organizations use Machine Learning?
Are you interested in the practical coding aspects of building a Machine Learning model?
If so, this is the perfect course for you. This course wraps up Ken Jee and Jeff Li’s series on Machine Learning. First, they showed you how the ML Process works in practice; then, they explained the fundamentals of the most popular Machine Learning algorithms used in the data science world. Now it’s time to consider the practical application of ML models and learn how to build them independently.
In this course, Ken and Jeff will help you understand how big tech firms and small businesses can use different ML algorithms to boost their results. They’ll consider more straightforward methods which don’t require much data and computational power, such as linear regression, logistic regression, and SVMs. Still, they’ll also discuss several advanced use cases of neural networks and collaborative filtering.
The coding walkthroughs section is a rare opportunity to gain practical intuition and see how an experienced data scientist builds an algorithm from scratch. This allows you to better grasp the theoretical concepts and logic studied earlier. You’ll learn to tackle real-world challenges when working on ML problems and develop essential debugging and problem-solving techniques.
Cross ValidationData modelingdata preprocessingDealing with Imbalanced DataExploratory Data AnalysisFeature Engineeringmachine learningMachine Learning ProcessModel Evaluation
What You'll Learn
The most valuable learning opportunity this course offers is the intuition and understanding you acquire by gaining first-hand experience in how ML algorithms can be applied and how a senior data scientist writes ML code from scratch.
Learn business applications of various algorithms—from linear regression to neural networks.
Improve your understanding of theoretical ML concepts.
Boost your coding skills by going through the complete coding walkthroughs provided by a senior data scientist.
Acquire insights on selecting the appropriate ML algorithms for specific business scenarios.
ML Business Use Cases
9 Lessons27 Min
In this section, Ken and Jeff walk you through the real-world application of several ML algorithms. You’ll learn how companies use them to improve performance and why specific algorithms work better in particular situations.
This is an opportunity to witness how an experienced data scientist builds ML algorithms from scratch. In the process, you can improve your coding skills and build a bridge between theoretical understanding and practical applications of ML algorithms.
This is a good course for anyone who is interested in ML and want to see how ML Algorithms work in the background. Jeff does a good job coding and explaining how they work. Really appreciate the effort and work you put into this course. Thanks.
“Through this course, you will journey from the fundamentals of machine learning to advanced real-world applications. Together, we will demystify the magic of ML algorithms and transform them into practical tools for your toolkit. Our coding walkthroughs will offer you a unique hands-on experience, enabling you to build an ML model from scratch, much like an experienced data scientist.”