Python Machine Learning Solutions

100 videos that teach you how to perform various machine learning tasks in real world. 
Understand which algorithms to use in a given context with the help of this exciting video-based guide. 

Learn about perceptrons and see how they are used to build neural networks. 

Stuck while making sense of images, text, speech and real estate? This is a guide that will come to your rescue, showing you how to do machine learning for each of these using a variety of techniques. 

Machine learning is becoming more and more popular in the modern world of data driven. It is extensively used across many fields such as search engines, robotics, self-driving cars, and more.

With this course, you will learn how to perform various machine learning tasks in different environments. We’ll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the course, you will use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. 

You’ll discover how to deal with different types of data and explore the differences between machine learning paradigms such as supervised and uncontrolled learning. We also cover a range of regression techniques, classification algorithms, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples.