Machine Learning Python Case Study - Predictive Modeling

Goals

• This course has been carefully crafted in order to upgrade oneself in the genre of Data Analysis and Data Science. This training will go a long way in making you the data scientist organizations are looking out for by means of making you understand deeper concepts of Machine Learning!

Prerequisites

This course has some pre-requisite to ensure that the candidates who enroll for it are well prepared to understand the course material. The pre-requisite is not too long and is also possible that a student can take a bridge course if pre-requites are not met.

• Students should have enough familiarity with basic linear algebra, calculus, probability, and statistic. These courses need not be at a very high level. If you remember what you learned in high school or junior college or can revise it quickly, then that should be enough.
• Familiarity with at least one programming language is recommended. Anyone language such as C, C++, Java, PHP, etc. is fine. This ensures that you understand the programming examples and assignments and do not spend too much time there. If you have not done coding before, you can take a bridge course before enrolling for this machine learning training. This will make your life very easy.