Machine learning is the science of making computer machine self learn from the past experiences to improve on the task's outcome. There are many exciting real life examples of application of machine learning such as robotic vacuum cleaner, self-driving cars, face or speech recognition, effective web search and many more. In this course you will learn important machine learning concepts, types of machine learning algorithms, steps in the model building, testing and scoring and learn various packages and functionalities in Python .You will get introduced to various supervised and unsupervised learning algorithms, you learn more complex linear, nonlinear as well as ensemble machine learning techniques.
Enough time is spent on understanding the concept behind each algorithm within case studies . What’s more? This course will also introduce with deep learning .
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