Machine Learning Practical: 6 Real-World Applications

Machine Learning Practical: 6 Real-World Applications, Machine Learning - Get Your Hands Dirty by Solving Real Industry Challenges with Python

• Created by Kirill Eremenko, Hadelin de Ponteves, Dr. Ryan Ahmed, Ph.D., MBA, SuperDataScience Team, Rony Sulca
• English
• English [Auto-generated]

PREVIEW THIS COURSE - GET COUPON CODE

What you'll learn

• You will know how real data science project looks like
• You will be able to include these Case Studies in your resume
• You will be able better market yourself as a Machine Learning Practioneer
• You will feel confident during Data Science interview
• You will learn how to chain multiple ML algorithms together to achieve the goal
• You will learn most advanced Data Visualization techniques with Seaborn and Matplotlib
• You will learn Logistic Regression
• You will learn L1 Regularization (Lasso)
• You will learn Random Forest Classifier
• Requirements
• You need to know Python (Machine Learning A-Z level is enough) in order to complete this course.
• You need to know how to set up your working environment (Anaconda, Jupyter Notebook, Spyder)
• This should not be your first Machine Learning course. You need to understand main concepts.