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No prior data crucial. Anaconda Python distribution for coding. Course Period: 6.5 Hours
Course Teacher: Srikant Kumar
Are you prepared to start out your path to turning into a Information Scientist!
Are you within the discipline of Machine Studying?
Then this course is for you!
This course has been designed by two grasp diploma college students who’re specialised in Information Science and Machine Studying and having 2 years of expertise in IT trade in order that we will share our data and expertise that will help you study complicated idea, algorithms and coding libraries in a layman’s manner.
This course has been design in such a manner that anybody who has primary data of math can perceive the ideas and implement them. We are going to do all of the coding from scratch, in order that an individual with zero data of programming language can even have the ability to mastery on this discipline.
It’s structured the next manner:
Course Introduction Python Instruments for Machine Studying Python for Machine Studying Machine Studying Journey to SkLearn Information Preprecessing and Visualization Regression Mannequin , Tuning and Validation Classification Mannequin , Tuning and Validation Introduction to NLP
The course won’t solely offer you grip over the ideas nevertheless it additionally accommodates some very fascinating and real-life coding excercise which supplies nice flavour to the course.
This Course can even be useful for individuals who are having machine studying of their course.
What data & instruments are required?
No prior data crucial. Anaconda Python distribution for coding Who this course is for:
Any rookies to achieve data in Machine Studying