The Complete Machine Learning Course with Python (Udemy.com)

( 0 Reviews )

Created by: Codestars by Rob Percival

Produced in 2018

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 0 / 100

Live Chat with CourseDuck's Co-Founder for Help

Need help deciding on a machine learning course? Or looking for more detail on Codestars by Rob Percival's The Complete Machine Learning Course with Python? Feel free to chat below.

Join CourseDuck's Online Learning Discord Community

Course Description

The average salary of a Machine Learning Engineer in the US is $166,000! By the end of this course, you will have a Portfolio of 12 Machine Learning projects that will help you land your dream job or enable you to solve real life problems in your business, job or personal life with Machine Learning algorithms. Come learn Machine Learning with Python this exciting course with Anthony NG, a Senior Lecturer in Singapore who has followed Rob Percival-'s - project based" teaching style to bring you this hands-on course. With over 18 hours of content and more than fifty 5 star rating, it's already the longest and best rated Machine Learning course on Udemy! Build Powerful Machine Learning Models to Solve Any Problem You'll go from beginner to extremely high-level and your instructor will build each algorithm with you step by step on screen. By the end of the course, you will have trained machine learning algorithms to classify flowers, predict house price, identify handwritings or digits, identify staff that is most likely to leave prematurely, detect cancer cells and much more! Inside the course, you'll learn how to:

Set up a Python development environment correctly
Gain complete machine learning tool sets to tackle most real world problems
Understand the various regression, classification and other ml algorithms performance metrics such as R-squared, MSE, accuracy, confusion matrix, prevision, recall, etc. and when to use them.
Combine multiple models with by bagging, boosting or stacking
Make use to unsupervised Machine Learning (ML) algorithms such as Hierarchical clustering, k-means clustering etc. to understand your data
Develop in Jupyter (IPython) notebook, Spyder and various IDE
Communicate visually and effectively with Matplotlib and Seaborn
Engineer new features to improve algorithm predictions
Make use of train/test, K-fold and Stratified K-fold cross validation to select correct model and predict model perform with unseen data
Use SVM for handwriting recognition, and classification problems in general
Use decision trees to predict staff attrition
Apply the association rule to retail shopping datasets
And much much more!

No Machine Learning required. Although having some basic Python experience would be helpful, no prior Python knowledge is necessary as all the codes will be provided and the instructor will be going through them line-by-line and you get friendly support in the Q&A area. Make This Investment in Yourself
If you want to ride the machine learning wave and enjoy the salaries that data scientists make, then this is the course for you! Take this course and become a machine learning engineer!Who this course is for:

Anyone willing and interested to learn machine learning algorithm with Python
Any one who has a deep interest in the practical application of machine learning to real world problems
Anyone wishes to move beyond the basics and develop an understanding of the whole range of machine learning algorithms
Any intermediate to advanced EXCEL users who is unable to work with large datasets
Anyone interested to present their findings in a professional and convincing manner
Anyone who wishes to start or transit into a career as a data scientist
Anyone who wants to apply machine learning to their domain

Time: 18.5h

*Some courses are excluded from this sale. Coupon not working? If the link above doesn't drop prices, clear the cookies in your browser and then click this link here.
Also, you may need to apply the coupon code directly on the cart page to get the discount.

Coupon Code

Instructor Details

Codestars by Rob Percival

0.0 Rating
0 Reviews

Best-selling Udemy instructor Rob Percival wants to revolutionize the way people learn to code by making it simple, logical, fun and, above all, accessible. But as just one man, Rob couldn't create all the courses his students - more than half a million of them - wanted. That's why Rob created Codestars. Together, the instructors that make up the Codestars team create courses on all the topics that students want to learn in the way that students want to learn them: courses that are well-structured, super interactive, and easy to understand. Codestars wants to make it as easy as possible for learners of all ages and levels to build functional websites and apps. Anthony Ng has spent the last seven years as a Senior Lecturer teaching algorithmic trading, financial data analysis, banking, finance, investment and portfolio management. He assists Quantopian, a Boston-based Hedge Fund, to conduct Algorithmic Trading Workshops in Singapore and has presented in the recent QuantCon Singapore 2016. You can find his Algorithmic Trading tutorials on his YouTube channel. Just click the YouTube icon to visit his channel. Passionate with finance, data science and python, Anthony enjoyed researching, teaching and sharing on these topics. Anthony studied Masters of Science in Financial Engineering at NUS Singapore.
Hi! I'm Rob. I have a degree in Mathematics from Cambridge University and you might call me a bit of coding geek. After build