Do you want to learn advanced Python algorithms used by professional developers?

We have created a complete and updated advanced program in machine learning who want to build complex machine learning solutions. This course covers advanced Python algorithms, which will help you learn how Python allows its users to create their own Data Structures enables to have full control over the functionality of the models.

Let’s Have A Look At The Major Topics That This Course Will Cover!

• Supervised Learning – Advanced Classification Models

• Unsupervised Learning

• Explainable Artificial Intelligence

• Dimensionality Reduction

• Recommendation Systems

• Reinforcement Learning

We’ll be explaining each concept using real examples and easy coding techniques in Python using a Jupyter notebook and different environments. In this course, we’ll be covering topics that will help you learn how to use open-source packages, tools, and data sets to build supervised and unsupervised models.

At the end of this course, you’ll be having complete knowledge starting from the fundamentals of unsupervised techniques to advancing unsupervised techniques and supervised algorithms. These techniques will help you build efficient and reliable models. With this expert-curated course, you’ll surely be going to learn important tips that will help you become a complete data scientist.

Make your move now! Enroll in this course today and learn advanced algorithms to boost your career.

See You In The Class!

Who this course is for:

• Anyone who wants to learn real world machine learning will find this course very useful