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Description
This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way. We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
What You'll Learn
- Master dimensionality reduction and other advanced techniques
- Dive deep into reinforcement learning and other specific topics
- Learn to choose the right machine learning model for different problem types
- Reinforcement Learning: Upper Confidence Bound & Thompson Sampling
- Model Selection & Cross-Validation Parameter Tuning
- Apply machine learning to personal projects
Requirements
- • High school math level
- • Basic Python knowledge
- • Stable broadband internet
Curriculum
- 15 lectures • 2h 29m 12s total length
Importing the libraries
Importing the libraries
Importing the libraries
Importing the libraries
Data Manipulation Tools
Importing the libraries
Importing the libraries
Importing the libraries
Importing the libraries
Importing the libraries
Importing the libraries
Importing the libraries
Importing the libraries
instructors
Professionally, I come from the Data Science consulting space with experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and since starting on Udemy I have passed on my knowledge to spread around the world
Student Feedback
Reviews
Expert Opinion
Very clean and organized with easy to follow tutorials, Exercises, and solutions. This course does start from the beginning with very little knowledge and gives a great overview of common tools used for data science and progresses into more complex concepts and ideas.
User Reviews
The content is clear and well-structured, perfect for beginners to grasp core concepts. It introduces key knowledge step by step with practical methods. Thanks to the team for their hard work!








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