Interested in the field of Machine Learning? Then this course is for you!
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.
This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:
- Machine Learning Introduction
- Data Science Introduction
- Machine Learning, Types of ML with Algorithms
- How Machine Solve Real Time Problems
- SciKit Learn & Machine Learning Map
- Collecting & Preparing the Data
- Train the Machine to Develop a Model
- Using SciKitLearn Algorithms
- Evaluate the Performance of the Model
- Improve the Performance of the Model
Who this course is for:
- Beginner Python developers curious about Data Science
- Just some high school mathematics level.
- Master Machine Learning on Python
- Make accurate predictions
- Make robust Machine Learning models
- Use Machine Learning for personal purpose
- Handle advanced techniques like Dimensionality Reduction
- Build an army of powerful Machine Learning models and know how to combine them to solve any problem
- Have a great intuition of many Machine Learning models
- Make powerful analysis
- Create strong added value to your business
- Know which Machine Learning model to choose for each type of problem